Job Description Summary As an FPGA Design Research Engineer, you will have the opportunity to architect and develop state-of-the-art embedded systems for real-time controls and industrial communication applications. You will lead and contribute to R&D projects that are aligned with GE Vernova's energy businesses such as Renewables, Gas Power, Power Conversion, Hydro, and Grid Solutions. Moreover, you will have the opportunity to shape, pursue, and execute R&D efforts in partnership with U.S. Government Agencies such as the Department of Energy (DOE) and the Department of Defense (DOD), universities, and national labs. Technologies developed under these programs will be matured and transitioned into GE business products. Are you ready to join our team of technology enthusiasts to drive the energy transition for a more sustainable future? As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Roles and Responsibilities Develop FPGA solutions for embedded systems and industrial control systems (ICS). Leverage FPGA design tools to develop, simulate, test, and optimize real-time embedded systems. Shape and pursue external opportunities with U.S. government agencies such as the DOE and DOD. Work with GE businesses to help transition real-time embedded controls and communication systems from early-stage lab demonstrations to fieldable prototypes. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded systems. Publish technical papers, file patents, and contribute to open-source communities. Qualifications/Requirements Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR Master's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 2 years of industry experience OR Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. 2-5 years of strong FPGA and SoC design experience using Verilog, SystemVerilog and VHDL 2-5 years of hands-on experience with Xilinx and/or Intel (Altera) FPGA devices, tools, and ecosystems (e.g., ModelSim, Intel Quartus, Xilinx Vivado) 2-5 years of solid understanding of digital logic design, including FSMs, pipelining, and resource optimization. 2-5 years of experience with RTL simulation, synthesis, place-and-route, and timing closure 2-5 years of knowledge of clock domain crossing (CDC) techniques and metastability mitigation 2-5 years of familiarity with high-speed and standard interfaces (UART, SPI, I C, Ethernet, PCIe, DDR) 2-5 years of experience developing testbenches and performing functional verification. 2-5 years of proficiency with on-chip debugging tools (e.g., ILA, SignalTap) 2-5 years of ability to read and interpret schematics, timing diagrams, and hardware datasheets 2-5 years of experience using version control systems (Git preferred) 2-5 years of experience with high-level synthesis (HLS) tools and algorithm-to-hardware workflows, including Vitis HLS and integration with MathWorks MATLAB/Simulink for model-based design and verification. Desired Characteristics: Experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. Strong embedded programming skills (e.g., C/C++, C#, Python, etc.). Experience with Linux build systems (e.g., Yocto). Working knowledge of Linux driver and/or kernel development Experience writing firmware and with low-level programming (e.g., microcontrollers). Working knowledge of real-time operating systems (e.g., QNX, RTLinux, or VxWorks). Familiarity with virtualization technologies such as hypervisors, Docker containers, etc. Experience with CI/CD technologies (e.g., GitLab, Jenkins, etc.). Eligibility Requirements Legal authorization to work in the US is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on June 09, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
07/13/2026
Full time
Job Description Summary As an FPGA Design Research Engineer, you will have the opportunity to architect and develop state-of-the-art embedded systems for real-time controls and industrial communication applications. You will lead and contribute to R&D projects that are aligned with GE Vernova's energy businesses such as Renewables, Gas Power, Power Conversion, Hydro, and Grid Solutions. Moreover, you will have the opportunity to shape, pursue, and execute R&D efforts in partnership with U.S. Government Agencies such as the Department of Energy (DOE) and the Department of Defense (DOD), universities, and national labs. Technologies developed under these programs will be matured and transitioned into GE business products. Are you ready to join our team of technology enthusiasts to drive the energy transition for a more sustainable future? As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Roles and Responsibilities Develop FPGA solutions for embedded systems and industrial control systems (ICS). Leverage FPGA design tools to develop, simulate, test, and optimize real-time embedded systems. Shape and pursue external opportunities with U.S. government agencies such as the DOE and DOD. Work with GE businesses to help transition real-time embedded controls and communication systems from early-stage lab demonstrations to fieldable prototypes. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded systems. Publish technical papers, file patents, and contribute to open-source communities. Qualifications/Requirements Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR Master's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 2 years of industry experience OR Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. 2-5 years of strong FPGA and SoC design experience using Verilog, SystemVerilog and VHDL 2-5 years of hands-on experience with Xilinx and/or Intel (Altera) FPGA devices, tools, and ecosystems (e.g., ModelSim, Intel Quartus, Xilinx Vivado) 2-5 years of solid understanding of digital logic design, including FSMs, pipelining, and resource optimization. 2-5 years of experience with RTL simulation, synthesis, place-and-route, and timing closure 2-5 years of knowledge of clock domain crossing (CDC) techniques and metastability mitigation 2-5 years of familiarity with high-speed and standard interfaces (UART, SPI, I C, Ethernet, PCIe, DDR) 2-5 years of experience developing testbenches and performing functional verification. 2-5 years of proficiency with on-chip debugging tools (e.g., ILA, SignalTap) 2-5 years of ability to read and interpret schematics, timing diagrams, and hardware datasheets 2-5 years of experience using version control systems (Git preferred) 2-5 years of experience with high-level synthesis (HLS) tools and algorithm-to-hardware workflows, including Vitis HLS and integration with MathWorks MATLAB/Simulink for model-based design and verification. Desired Characteristics: Experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. Strong embedded programming skills (e.g., C/C++, C#, Python, etc.). Experience with Linux build systems (e.g., Yocto). Working knowledge of Linux driver and/or kernel development Experience writing firmware and with low-level programming (e.g., microcontrollers). Working knowledge of real-time operating systems (e.g., QNX, RTLinux, or VxWorks). Familiarity with virtualization technologies such as hypervisors, Docker containers, etc. Experience with CI/CD technologies (e.g., GitLab, Jenkins, etc.). Eligibility Requirements Legal authorization to work in the US is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on June 09, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/13/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for Senior Software Engineer - Vehicle Health Management to join our Government Vehicle Health Management Systems (GHVMS) software team in Hazelwood, MO. This position in the Boeing Global Services (BGS) organization will primarily support Boeing Defense, Space & Security (BDS) Air Dominance programs. The Senior Project Engineer will lead the full lifecycle of embedded software development integrated within specialized devices and systems, ensuring compliance with industry, customer, safety, and regulatory standards. This role directs the translation of complex customer requirements into effective software designs, overseeing code reviews, system integration, and improving software efficiency and stability on specialized hardware. Serving as a technical authority, the engineer guides testing, debugging, and the adoption of emerging technologies, tools, and regulatory changes to advance product performance. Additionally, the position leads the evaluation and coordination of internal and supplier teams, ensuring adherence to project plans and quality standards while providing strategic oversight of embedded software project management activities. In GVHMS, we develop software that enables maintainers to keep military aircraft mission-ready and safe. As a software engineer on our team, you will create solutions that monitor and predict the health of aircraft throughout their lifecycle. Your solutions will be used to enable smarter maintenance decisions, automate processes, and reduce costs. You will also have the opportunity to develop with emerging technologies, such as AI, to advance our software capabilities and drive the future of predictive maintenance. Position Responsibilities: Leads the design, development, test, debugging and maintenance of software that is integrated into embedded devices and systems and meets industry, customer, safety and regulation standards Leads review, analyses, and translation of customer requirements into the design of software products for embedded devices and systems Reviews code for embedded systems software to run on specific specialized hardware Leads integration of embedded software with hardware components Leads analyses, monitoring and improvement of the efficiency and stability of embedded software systems Leads testing and debugging of software for embedded devices and systems Researches and leads implementation of current and emerging technologies, tools, frameworks, and changes in regulations relevant to software development and hardware technologies Advises on software and hardware integration domains Leads tracking and evaluation of internal and supplier software team performance to ensure product and process compliance to project plans and industry standards Leads embedded software project management functions This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelor Degree Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 9+ years of experience with embedded systems and/or developing software (C, C++) 3+ years of experience with software utilized on air vehicle, avionics, weapons or mission systems Preferred Qualifications (Desired Skills/Experience): Level 4: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience 2+ years of experience working in an Agile product development environment Secret Clearance is a plus Ability to obtain access to Special Access Programs (SAP) 2+ years of experience in the Aerospace industry Experience with Linux, Software Containers (Docker and Kubernetes), CI/CD (JIRA, Gitlab, Ansible, & Artifactory), Model Based Systems Engineering (UML, SysML, Cameo, MSOSA), and Automated Testing Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Senior (Level 4): $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Jul. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/13/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for Senior Software Engineer - Vehicle Health Management to join our Government Vehicle Health Management Systems (GHVMS) software team in Hazelwood, MO. This position in the Boeing Global Services (BGS) organization will primarily support Boeing Defense, Space & Security (BDS) Air Dominance programs. The Senior Project Engineer will lead the full lifecycle of embedded software development integrated within specialized devices and systems, ensuring compliance with industry, customer, safety, and regulatory standards. This role directs the translation of complex customer requirements into effective software designs, overseeing code reviews, system integration, and improving software efficiency and stability on specialized hardware. Serving as a technical authority, the engineer guides testing, debugging, and the adoption of emerging technologies, tools, and regulatory changes to advance product performance. Additionally, the position leads the evaluation and coordination of internal and supplier teams, ensuring adherence to project plans and quality standards while providing strategic oversight of embedded software project management activities. In GVHMS, we develop software that enables maintainers to keep military aircraft mission-ready and safe. As a software engineer on our team, you will create solutions that monitor and predict the health of aircraft throughout their lifecycle. Your solutions will be used to enable smarter maintenance decisions, automate processes, and reduce costs. You will also have the opportunity to develop with emerging technologies, such as AI, to advance our software capabilities and drive the future of predictive maintenance. Position Responsibilities: Leads the design, development, test, debugging and maintenance of software that is integrated into embedded devices and systems and meets industry, customer, safety and regulation standards Leads review, analyses, and translation of customer requirements into the design of software products for embedded devices and systems Reviews code for embedded systems software to run on specific specialized hardware Leads integration of embedded software with hardware components Leads analyses, monitoring and improvement of the efficiency and stability of embedded software systems Leads testing and debugging of software for embedded devices and systems Researches and leads implementation of current and emerging technologies, tools, frameworks, and changes in regulations relevant to software development and hardware technologies Advises on software and hardware integration domains Leads tracking and evaluation of internal and supplier software team performance to ensure product and process compliance to project plans and industry standards Leads embedded software project management functions This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelor Degree Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 9+ years of experience with embedded systems and/or developing software (C, C++) 3+ years of experience with software utilized on air vehicle, avionics, weapons or mission systems Preferred Qualifications (Desired Skills/Experience): Level 4: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience 2+ years of experience working in an Agile product development environment Secret Clearance is a plus Ability to obtain access to Special Access Programs (SAP) 2+ years of experience in the Aerospace industry Experience with Linux, Software Containers (Docker and Kubernetes), CI/CD (JIRA, Gitlab, Ansible, & Artifactory), Model Based Systems Engineering (UML, SysML, Cameo, MSOSA), and Automated Testing Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Senior (Level 4): $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Jul. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Embedded Software Engineer - Space Systems : Sign-on bonus ($30K max) Job Code: 39248 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $30K may be included as part of an offer package for this level Job Description: L3Harris Space and Mission Systems is seeking a Lead Embedded Software Engineer for our Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. This role requires strong technical depth in low-level embedded software, hardware interfacing, and multi-threaded application development, along with the ability to provide technical leadership and mentorship to junior engineers. The ideal candidate will have experience developing reliable software for mission-critical aerospace or space systems and familiarity with foundational frameworks such as NASA cFS or similar spaceflight software architectures. Essential Functions: Design, develop, test, and maintain embedded C++ software on the Linux operating system for space-based and mission-critical applications. Develop software that interfaces directly with hardware, including low-level I/O control, device communication, register-level interaction, and interrupt processing. Build and maintain multi-threaded applications with attention to determinism, synchronization, resource management, and system performance. Integrate and utilize targeted foundational software frameworks for space applications, such as NASA core Flight System (cFS) or comparable middleware and reusable flight software components. Support software architecture, implementation, debugging, and optimization across the full software development lifecycle. Collaborate closely with systems, hardware, integration, and test teams to ensure software meets mission, interface, and performance requirements. Participate in software bring-up, hardware/software integration, troubleshooting, and verification activities in lab and system environments. Contribute to code reviews, technical planning, software standards, and development best practices to improve quality, maintainability, and compliance. Provide technical leadership, including guiding design decisions, reviewing junior engineers' work products, and mentoring entry-level staff in embedded software development methods and tools. Qualifications: Bachelor's Degree in Computer Engineering, Computer Science, or related field and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Ability to obtain a TS/SCI security clearance. 7+ years experience in embedded software development, system design, debugging, and integration on aerospace products. 5+ years experience with RTOS (e.g., VxWorks, FreeRTOS, RTLinux, QNX), and programming languages (C/C++, Python, scripting). Professional experience with DevOps practices, Jenkins, and continuous integration tools. Professional experience working with Versal, MicroBlaze, bare metal development, and kernel/device drivers. Professional experience with embedded command and control for various applications including mechanisms, serial communications and distributed messaging. Preferred Additional Skills: Active Top Secret or TS/SCI clearance is highly preferred Expertise in full spaced-based System lifecycle including requirements flow down and allocation, design, development, test, and sell-off. Knowledge of MBSE tools (e.g., Cameo) and wideband/narrowband telemetry and messaging. Experience in space payload systems and NASA Core Flight System/Core Flight Executive (cFS/CFE) or similar reusable software framework used in aerospace and spaceflight applications. Experience in Command & Control Software, Sensor Processing Systems, and Optical Systems/telescopes. Knowledge of microprocessor/microcontroller architecture and programming, and familiarity with FPGAs. Understanding of real-time and embedded Linux concepts, including inter-process communication, scheduling, and performance tuning. Experience in estimating large software programs for new business opportunities. Proficiency in release engineering, change and configuration management, and continuous integration. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Develop, customize, and maintain Board Support Packages (BSP) for various hardware platforms. Integrate BSP components, including bootloaders, device drivers, and operating systems. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $135,000.00 - $250,500.00 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/13/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Embedded Software Engineer - Space Systems : Sign-on bonus ($30K max) Job Code: 39248 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $30K may be included as part of an offer package for this level Job Description: L3Harris Space and Mission Systems is seeking a Lead Embedded Software Engineer for our Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. This role requires strong technical depth in low-level embedded software, hardware interfacing, and multi-threaded application development, along with the ability to provide technical leadership and mentorship to junior engineers. The ideal candidate will have experience developing reliable software for mission-critical aerospace or space systems and familiarity with foundational frameworks such as NASA cFS or similar spaceflight software architectures. Essential Functions: Design, develop, test, and maintain embedded C++ software on the Linux operating system for space-based and mission-critical applications. Develop software that interfaces directly with hardware, including low-level I/O control, device communication, register-level interaction, and interrupt processing. Build and maintain multi-threaded applications with attention to determinism, synchronization, resource management, and system performance. Integrate and utilize targeted foundational software frameworks for space applications, such as NASA core Flight System (cFS) or comparable middleware and reusable flight software components. Support software architecture, implementation, debugging, and optimization across the full software development lifecycle. Collaborate closely with systems, hardware, integration, and test teams to ensure software meets mission, interface, and performance requirements. Participate in software bring-up, hardware/software integration, troubleshooting, and verification activities in lab and system environments. Contribute to code reviews, technical planning, software standards, and development best practices to improve quality, maintainability, and compliance. Provide technical leadership, including guiding design decisions, reviewing junior engineers' work products, and mentoring entry-level staff in embedded software development methods and tools. Qualifications: Bachelor's Degree in Computer Engineering, Computer Science, or related field and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Ability to obtain a TS/SCI security clearance. 7+ years experience in embedded software development, system design, debugging, and integration on aerospace products. 5+ years experience with RTOS (e.g., VxWorks, FreeRTOS, RTLinux, QNX), and programming languages (C/C++, Python, scripting). Professional experience with DevOps practices, Jenkins, and continuous integration tools. Professional experience working with Versal, MicroBlaze, bare metal development, and kernel/device drivers. Professional experience with embedded command and control for various applications including mechanisms, serial communications and distributed messaging. Preferred Additional Skills: Active Top Secret or TS/SCI clearance is highly preferred Expertise in full spaced-based System lifecycle including requirements flow down and allocation, design, development, test, and sell-off. Knowledge of MBSE tools (e.g., Cameo) and wideband/narrowband telemetry and messaging. Experience in space payload systems and NASA Core Flight System/Core Flight Executive (cFS/CFE) or similar reusable software framework used in aerospace and spaceflight applications. Experience in Command & Control Software, Sensor Processing Systems, and Optical Systems/telescopes. Knowledge of microprocessor/microcontroller architecture and programming, and familiarity with FPGAs. Understanding of real-time and embedded Linux concepts, including inter-process communication, scheduling, and performance tuning. Experience in estimating large software programs for new business opportunities. Proficiency in release engineering, change and configuration management, and continuous integration. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Develop, customize, and maintain Board Support Packages (BSP) for various hardware platforms. Integrate BSP components, including bootloaders, device drivers, and operating systems. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $135,000.00 - $250,500.00 . This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: . This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Jul. 20, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/13/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: . This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Jul. 20, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Chief Autonomy Flight & Simulation Software Engineer to lead reusable autonomy software development on our Phantom Works team in Hazelwood, MO. Phantom Works is where imagination meets engineering excellence - a place where bold ideas are shaped to transform the future of defense. Driven by curiosity and relentless problem-solving, our team pushes boundaries across aerospace, autonomy, emerging technologies and advanced materials to create breakthrough capabilities that keep people and warfighters safe, and missions successful. With a culture of collaboration, integrity, and rigorous testing, Phantom Works transforms daring concepts into trusted, operational solutions that inspire confidence and expand what's possible in the skies and beyond. As the Chief Engineer for Phantom Works Autonomy Flight and Simulation Software, you will own the reusable software, architectures, standards-based interfaces, and infrastructure that enable autonomy development from simulation through flight demonstration. You will provide technical leadership across virtual, hardware-in-the-loop, surrogate, and in-flight environments - accelerating reuse, compressing integration timelines, and improving flight readiness across Boeing Defense programs. This position requires an Active U.S. Secret Clearance for which the U.S. Government requires U.S. Citizenship. This role spans Phantom Works, Boeing Defense programs, suppliers, and customers. You will define architecture, integrate advanced autonomy software, validate mission-critical capabilities, and support demonstrations that shape Boeing's autonomy future. If you are ready to bridge the gap between simulation and real flight on advanced defense platforms, we want you on our autonomy software team. Build your Future with Us. Position Responsibilities: Serve as single-point technical authority for autonomy flight and simulation software architecture, interfaces, and shared infrastructure across the BDS autonomy portfolio Direct technical strategy for reusable autonomy software from simulation through flight demonstration; govern standards-based interfaces, toolchains, and shared infrastructure investments Drive reuse across programs and platforms (MQ-28, MQ-25, CxR, Insitu, VWC, proprietary BDS programs) to compress integration timelines, reduce NRE, and improve flight readiness Coordinate across Phantom Works, BDS Test Bed Office, Aurora Flight Sciences, Boeing Defense Australia, BDS, and BTI to align simulation, test, and flight software development Lead technical execution for high-visibility demonstrations and fleet exercises, including multi-vehicle Group 2-5 UAV and surrogate operations Prioritize portfolio-level investments in shared flight and simulation software; accept technical risk within the domain on behalf of the portfolio Ensure compatibility and readiness across virtual, hardware-in-the-loop, surrogate, and in-flight environments Manage day-to-day technical direction for 10 engineers; mentor early-career talent and establish engineering best practices Establish and continuously improve software workflows, change control, security processes, and software assurance across the portfolio Coordinate with customers, program leadership, software teams, and flight/test organizations to support integration labs, test assets, and flight test planning and execution Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active U.S. Secret Security Clearance 14 years of software engineering experience 2+ years of experience modeling defense aircraft subsystems such as sensors, communications or stores management 2+ years of experience with the Air Force Research Laboratory's (AFRL) Advanced Framework for Simulation, Integration, and Modeling (AFSIM) and/or the Next Generation Threat System (NGTS) 2+ years of experience supporting flight test and/or live aerospace demonstrations 6+ years of experience of technical team leadership experience Preferred Qualifications: Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience 3 years' experience with autonomous systems and/or autonomy techniques Experience developing mission systems software on aircraft platforms 5 years' experience in integrating complex applications on Windows platforms 5 years' experience in integrating complex applications on Linux platforms 5 years of Python software development experience 10 years of C++ development experience Strong communication, consensus-building, conflict resolution, and active listening skills Domain knowledge of Mission Systems Software development Real-time software development experience Experience with Git and version control, CI/CD; Agile, DevSecOps and complex build/release plans Experience serving as a software architect or chief engineer Experience developing and testing software in cloud-based environments Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Travel: 10% Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Jul. 16, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/13/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Chief Autonomy Flight & Simulation Software Engineer to lead reusable autonomy software development on our Phantom Works team in Hazelwood, MO. Phantom Works is where imagination meets engineering excellence - a place where bold ideas are shaped to transform the future of defense. Driven by curiosity and relentless problem-solving, our team pushes boundaries across aerospace, autonomy, emerging technologies and advanced materials to create breakthrough capabilities that keep people and warfighters safe, and missions successful. With a culture of collaboration, integrity, and rigorous testing, Phantom Works transforms daring concepts into trusted, operational solutions that inspire confidence and expand what's possible in the skies and beyond. As the Chief Engineer for Phantom Works Autonomy Flight and Simulation Software, you will own the reusable software, architectures, standards-based interfaces, and infrastructure that enable autonomy development from simulation through flight demonstration. You will provide technical leadership across virtual, hardware-in-the-loop, surrogate, and in-flight environments - accelerating reuse, compressing integration timelines, and improving flight readiness across Boeing Defense programs. This position requires an Active U.S. Secret Clearance for which the U.S. Government requires U.S. Citizenship. This role spans Phantom Works, Boeing Defense programs, suppliers, and customers. You will define architecture, integrate advanced autonomy software, validate mission-critical capabilities, and support demonstrations that shape Boeing's autonomy future. If you are ready to bridge the gap between simulation and real flight on advanced defense platforms, we want you on our autonomy software team. Build your Future with Us. Position Responsibilities: Serve as single-point technical authority for autonomy flight and simulation software architecture, interfaces, and shared infrastructure across the BDS autonomy portfolio Direct technical strategy for reusable autonomy software from simulation through flight demonstration; govern standards-based interfaces, toolchains, and shared infrastructure investments Drive reuse across programs and platforms (MQ-28, MQ-25, CxR, Insitu, VWC, proprietary BDS programs) to compress integration timelines, reduce NRE, and improve flight readiness Coordinate across Phantom Works, BDS Test Bed Office, Aurora Flight Sciences, Boeing Defense Australia, BDS, and BTI to align simulation, test, and flight software development Lead technical execution for high-visibility demonstrations and fleet exercises, including multi-vehicle Group 2-5 UAV and surrogate operations Prioritize portfolio-level investments in shared flight and simulation software; accept technical risk within the domain on behalf of the portfolio Ensure compatibility and readiness across virtual, hardware-in-the-loop, surrogate, and in-flight environments Manage day-to-day technical direction for 10 engineers; mentor early-career talent and establish engineering best practices Establish and continuously improve software workflows, change control, security processes, and software assurance across the portfolio Coordinate with customers, program leadership, software teams, and flight/test organizations to support integration labs, test assets, and flight test planning and execution Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Active U.S. Secret Security Clearance 14 years of software engineering experience 2+ years of experience modeling defense aircraft subsystems such as sensors, communications or stores management 2+ years of experience with the Air Force Research Laboratory's (AFRL) Advanced Framework for Simulation, Integration, and Modeling (AFSIM) and/or the Next Generation Threat System (NGTS) 2+ years of experience supporting flight test and/or live aerospace demonstrations 6+ years of experience of technical team leadership experience Preferred Qualifications: Desired Skills/Experience): Level 5 / Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience OR Bachelor's Degree and 18+ years of directly related work experience OR 22+ years of related, relevant experience 3 years' experience with autonomous systems and/or autonomy techniques Experience developing mission systems software on aircraft platforms 5 years' experience in integrating complex applications on Windows platforms 5 years' experience in integrating complex applications on Linux platforms 5 years of Python software development experience 10 years of C++ development experience Strong communication, consensus-building, conflict resolution, and active listening skills Domain knowledge of Mission Systems Software development Real-time software development experience Experience with Git and version control, CI/CD; Agile, DevSecOps and complex build/release plans Experience serving as a software architect or chief engineer Experience developing and testing software in cloud-based environments Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Travel: 10% Relocation: This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level: $198,050 - $267,950 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Jul. 16, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Systems Integration Engineer to serve as the systems engineer for the F-15 USAF Training Systems CLS Team in Berkeley, MO. F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high-fidelity computer-generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. Position Responsibilities: Create and lead obsolescence management process for F-15 USAF Training systems program Provide technical guidance to technicians and engineering where needed to troubleshoot complex issues Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, mission assurance, etc.) Provides oversight to the asset manager responsible for managing the database of program assets to ensure system compliance of proper configurations stocked in inventory Responsible for writing CDRLs pertaining to obsolescence management to fulfill prime contract requirements Manages technical manuals for existing training devices deployed in the field to proper configuration levels Coordinate the update of technical operations manuals in alignment with prime contact delivery needs Assist in troubleshooting of training devices Support formal testing and installation events as needed Works directly with program engineering to resolve cross-functional technical issues Buildup, integration and test of training devices for final delivery at customer's site This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement Systems engineering experience to include but not limited to system integration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Visual Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $136,850- $185,150 Applications for this position will be accepted until Jul. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/13/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Systems Integration Engineer to serve as the systems engineer for the F-15 USAF Training Systems CLS Team in Berkeley, MO. F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high-fidelity computer-generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. Position Responsibilities: Create and lead obsolescence management process for F-15 USAF Training systems program Provide technical guidance to technicians and engineering where needed to troubleshoot complex issues Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, mission assurance, etc.) Provides oversight to the asset manager responsible for managing the database of program assets to ensure system compliance of proper configurations stocked in inventory Responsible for writing CDRLs pertaining to obsolescence management to fulfill prime contract requirements Manages technical manuals for existing training devices deployed in the field to proper configuration levels Coordinate the update of technical operations manuals in alignment with prime contact delivery needs Assist in troubleshooting of training devices Support formal testing and installation events as needed Works directly with program engineering to resolve cross-functional technical issues Buildup, integration and test of training devices for final delivery at customer's site This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement Systems engineering experience to include but not limited to system integration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Visual Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $136,850- $185,150 Applications for this position will be accepted until Jul. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking Lead Software Engineer with an Active Top Secret Security Clearance to support our Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team in Berkeley, MO This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; and developing new businesses and entering new markets. The organization is seeking software engineers to perform software design and development for Space-based effects in support of air domain missions. The selected team member enjoys working collaboratively with others, has a commitment to customer satisfaction and process improvement, and is successful working in a multi-contract/multi-program environment. He/she will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. He/she should be adaptable to new development environments and eager to work with and learn new technologies Position Responsibilities: Lead the planning of software development tasks including detailed software design, coding, and unit/integration/functional/system testing of customer desired features/user stories, ensuring successful achievement of acceptance criteria. Partners with appropriate stakeholders to inform system definition and reviews translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Reviews completion of software system-level analyses to identify risk, issues and opportunities; leads integration and deployment of mitigation actions throughout the software lifecycle. Leads code reviews to ensure alignment to requirements and standard. Leads monitoring and reviewing test completion, verification processes and issue resolution for software systems. Leads review of product and process for alignment with project plans and industry standards by tracking and evaluation of internal team and supplier performance. Mentor and coach junior engineers in software development Interface with various software programming languages Basic Qualifications (Required Skills/ Experience): Bachelor's degree Active Top Secret U.S. Security clearance 5+ years of Software Engineering experience 5+ years of experience with Java and/or C++ object-oriented programming 3+ years of experience leading software development projects 1+ years of MATLAB Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Active TS/SCI Familiarity with Physics-Based Modeling software packages. Physics knowledge in one or more of the following: flight dynamics, sensors, electromagnetics, weapon models, terrain models, or flight control; but not required. Familiarity with DevSecOps: version control, continuous integration, containers, code analysis tools (Git, GitLab, or CMake) Candidate should have strong computing skills, excellent communication skills, be customer-oriented, positive, flexible, and a strong team player. Experience with Agile software development process, including daily standup, User Stories, Sprints, and/or Planning Exposure to Linux and Windows Exposure to MATLAB Coder, but not required Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/13/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking Lead Software Engineer with an Active Top Secret Security Clearance to support our Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team in Berkeley, MO This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; and developing new businesses and entering new markets. The organization is seeking software engineers to perform software design and development for Space-based effects in support of air domain missions. The selected team member enjoys working collaboratively with others, has a commitment to customer satisfaction and process improvement, and is successful working in a multi-contract/multi-program environment. He/she will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. He/she should be adaptable to new development environments and eager to work with and learn new technologies Position Responsibilities: Lead the planning of software development tasks including detailed software design, coding, and unit/integration/functional/system testing of customer desired features/user stories, ensuring successful achievement of acceptance criteria. Partners with appropriate stakeholders to inform system definition and reviews translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts. Reviews completion of software system-level analyses to identify risk, issues and opportunities; leads integration and deployment of mitigation actions throughout the software lifecycle. Leads code reviews to ensure alignment to requirements and standard. Leads monitoring and reviewing test completion, verification processes and issue resolution for software systems. Leads review of product and process for alignment with project plans and industry standards by tracking and evaluation of internal team and supplier performance. Mentor and coach junior engineers in software development Interface with various software programming languages Basic Qualifications (Required Skills/ Experience): Bachelor's degree Active Top Secret U.S. Security clearance 5+ years of Software Engineering experience 5+ years of experience with Java and/or C++ object-oriented programming 3+ years of experience leading software development projects 1+ years of MATLAB Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Active TS/SCI Familiarity with Physics-Based Modeling software packages. Physics knowledge in one or more of the following: flight dynamics, sensors, electromagnetics, weapon models, terrain models, or flight control; but not required. Familiarity with DevSecOps: version control, continuous integration, containers, code analysis tools (Git, GitLab, or CMake) Candidate should have strong computing skills, excellent communication skills, be customer-oriented, positive, flexible, and a strong team player. Experience with Agile software development process, including daily standup, User Stories, Sprints, and/or Planning Exposure to Linux and Windows Exposure to MATLAB Coder, but not required Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $160,650 - $217,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
UtopiaCompression Corporation
Santa Monica, California
Job Description Job Description About the Role We are looking for a hands-on R&D Engineer who thrives at the intersection of software, hardware, and robotics. This role goes beyond writing code; you will design and integrate embedded systems, configure cameras and sensors, build custom hardware setups, and develop intelligent robotic and drone platforms. If you love working with your hands as much as you love writing clean algorithms, this role is for you. Key Responsibilities Software Development • Research, prototype, and implement algorithms in Python and C++ • Write clean, type-annotated, well-documented Python 3.10+ code following modern best practices • Develop and maintain software for robotic and drone systems using ROS/ROS2 • Work with MAVLink protocol and Pixhawk flight controllers for autonomous vehicle integration • Implement serialization/deserialization pipelines and inter-process communication (IPC) • Contribute to multiprocessing, profiling, and performance optimization efforts Embedded Systems & Electronics • Design, wire, and debug embedded systems for robotics and drone payloads • Work with cameras and imaging hardware including power delivery, voltage regulation, and cable management • Use lab instruments (multimeters, oscilloscopes, bench power supplies) for hardware validation and troubleshooting • Interface with USB, serial, and other communication buses for sensor and peripheral integration Mechanical & Hardware • Create CAD models and produce 3D-printed components for custom enclosures and mounts • Apply sound mechanical judgment to hardware design: tolerances, material selection, and assembly • Assemble and configure compute hardware, including GPU workstations and embedded computing platforms Networking & Video Systems • Configure IP networks, manage static/dynamic addressing, and troubleshoot connectivity • Work with RTSP video streams and IP camera feeds in live systems • Read and process KLV metadata embedded in video streams • Integrate and manage data flows across networked robotic and drone systems Robotics & Drones • Develop software and system integrations for ground robots and unmanned aerial vehicles (UAVs) • Integrate Pixhawk/MAVLink-based autopilot systems with onboard computers and payloads • Assist in flight testing, calibration, and field operations for drone platforms Basic Requirements • Ability to obtain U.S. Secret Clearance. • MS in Computer Science, Electrical Engineering, or equivalent practical experience • Strong programming skills in C++ and Python with production-quality code standards • Hands-on experience with embedded systems and low-level hardware integration • Electrical engineering fundamentals: reading schematics, voltage/current management, connector selection, use of test equipment • Proficiency in Linux (Bash scripting, system configuration, networking tools) • Experience with ROS or ROS2 for robot software development • Experience with MAVLink and Pixhawk-based autopilot systems • CAD and 3D printing experience for mechanical prototyping • Ability to build and configure computers, including selection and installation of GPUs and peripherals • Working knowledge of IP networking: subnets, routing, SSH, firewalls, and VLANs • Experience with RTSP video feeds and KLV metadata processing • Good written and oral communication skills; ability to produce technical documentation and reports Preferred Qualifications • Hands-on experience with drones or UAV systems (assembly, tuning, field ops) • Computer vision experience - camera calibration, image processing pipelines, or stereo vision • Machine learning / deep learning experience with TensorFlow or PyTorch • Familiarity with Unreal Engine for simulation or synthetic data generation • Serial communication experience: USB, UART, SPI, I2C device integration • Experience with GPU-accelerated computing and CUDA • Knowledge of Unreal Engine or simulation environments for robotics testing Who We Are UtopiaCompression Corporation, located in the west side of Los Angeles, is a leader in cutting-edge solutions for : Computer vision and machine learning; Planning and control for autonomous systems; Human-computer interaction for autonomous systems; We offer a challenging and exciting environment to work on high-risk, high-reward technologies with the potential to bring about transformational changes to state-of-the-art. Benefits 1. Competitive compensation package 2. Fully paid for health care benefits 3. 401(k) with employer matching 4. Relocation, if applicable 5. Paid vacations and sick leave allowances 6. Company stock options To apply, send your resume to: innovate at with the job title as the subject. Company Description High-Tech Company Company Description High-Tech Company
07/13/2026
Full time
Job Description Job Description About the Role We are looking for a hands-on R&D Engineer who thrives at the intersection of software, hardware, and robotics. This role goes beyond writing code; you will design and integrate embedded systems, configure cameras and sensors, build custom hardware setups, and develop intelligent robotic and drone platforms. If you love working with your hands as much as you love writing clean algorithms, this role is for you. Key Responsibilities Software Development • Research, prototype, and implement algorithms in Python and C++ • Write clean, type-annotated, well-documented Python 3.10+ code following modern best practices • Develop and maintain software for robotic and drone systems using ROS/ROS2 • Work with MAVLink protocol and Pixhawk flight controllers for autonomous vehicle integration • Implement serialization/deserialization pipelines and inter-process communication (IPC) • Contribute to multiprocessing, profiling, and performance optimization efforts Embedded Systems & Electronics • Design, wire, and debug embedded systems for robotics and drone payloads • Work with cameras and imaging hardware including power delivery, voltage regulation, and cable management • Use lab instruments (multimeters, oscilloscopes, bench power supplies) for hardware validation and troubleshooting • Interface with USB, serial, and other communication buses for sensor and peripheral integration Mechanical & Hardware • Create CAD models and produce 3D-printed components for custom enclosures and mounts • Apply sound mechanical judgment to hardware design: tolerances, material selection, and assembly • Assemble and configure compute hardware, including GPU workstations and embedded computing platforms Networking & Video Systems • Configure IP networks, manage static/dynamic addressing, and troubleshoot connectivity • Work with RTSP video streams and IP camera feeds in live systems • Read and process KLV metadata embedded in video streams • Integrate and manage data flows across networked robotic and drone systems Robotics & Drones • Develop software and system integrations for ground robots and unmanned aerial vehicles (UAVs) • Integrate Pixhawk/MAVLink-based autopilot systems with onboard computers and payloads • Assist in flight testing, calibration, and field operations for drone platforms Basic Requirements • Ability to obtain U.S. Secret Clearance. • MS in Computer Science, Electrical Engineering, or equivalent practical experience • Strong programming skills in C++ and Python with production-quality code standards • Hands-on experience with embedded systems and low-level hardware integration • Electrical engineering fundamentals: reading schematics, voltage/current management, connector selection, use of test equipment • Proficiency in Linux (Bash scripting, system configuration, networking tools) • Experience with ROS or ROS2 for robot software development • Experience with MAVLink and Pixhawk-based autopilot systems • CAD and 3D printing experience for mechanical prototyping • Ability to build and configure computers, including selection and installation of GPUs and peripherals • Working knowledge of IP networking: subnets, routing, SSH, firewalls, and VLANs • Experience with RTSP video feeds and KLV metadata processing • Good written and oral communication skills; ability to produce technical documentation and reports Preferred Qualifications • Hands-on experience with drones or UAV systems (assembly, tuning, field ops) • Computer vision experience - camera calibration, image processing pipelines, or stereo vision • Machine learning / deep learning experience with TensorFlow or PyTorch • Familiarity with Unreal Engine for simulation or synthetic data generation • Serial communication experience: USB, UART, SPI, I2C device integration • Experience with GPU-accelerated computing and CUDA • Knowledge of Unreal Engine or simulation environments for robotics testing Who We Are UtopiaCompression Corporation, located in the west side of Los Angeles, is a leader in cutting-edge solutions for : Computer vision and machine learning; Planning and control for autonomous systems; Human-computer interaction for autonomous systems; We offer a challenging and exciting environment to work on high-risk, high-reward technologies with the potential to bring about transformational changes to state-of-the-art. Benefits 1. Competitive compensation package 2. Fully paid for health care benefits 3. 401(k) with employer matching 4. Relocation, if applicable 5. Paid vacations and sick leave allowances 6. Company stock options To apply, send your resume to: innovate at with the job title as the subject. Company Description High-Tech Company Company Description High-Tech Company
Job Description Summary As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leads research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a Senior Embedded Computing Engineer, you will be responsible for architecting, implementing, and testing of Edge solutions for embedded systems. You will have the opportunity to lead multimillion-dollar R&D programs aligned with GE Vernova's energy businesses such as Power Generation, Renewables, and Hydro as well as with U.S. Government Agencies such as the Department of Defense and the Department of Energy. The technologies developed under these programs will be matured and transitioned into GE business products. You will shape and foster strategic collaborations with government partners, national laboratories, universities, and strategic business partners to drive innovative embedded computing solutions for GE. Job Description Roles and Responsibilities: Work with GE Vernova businesses to help transition edge computing, real-time embedded controls, and embedded communication systems from early-stage lab demonstrations to fieldable prototypes. Design, model, simulate, implement, and optimize real-time critical embedded systems. Work with hardware suppliers and engineering tool providers to identify and select solutions for challenging industrial and defense applications. Work with U.S. government agencies to shape winning proposals and lead projects that will create innovative solutions to protect the nation's most critical infrastructure. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded computing. Publish technical papers, file patents, and contribute to open-source communities. Required Qualifications: Ph.D. in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 7 years of industry experience OR Master's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 10 years of industry experience OR Bachelor's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 15 years of industry experience. 3- 7 years of strong FPGA/SoC design and development experience with Verilog and VHDL. 3- 7 years of knowledge of Xilinx and/or Altera devices, tools, and ecosystem (e.g., ModelSim, Intel Quartus, Xilinx Vivado, etc.). 3- 7 years of experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. 3- 7 years of experience with heterogeneous computer architectures and hardware acceleration techniques. 3- 7 years of strong embedded programming skills (e.g., C/C++/C#, Java, Python, MATLAB, etc.). 3- 7 years of experience with Linux driver and/or Linux kernel development and Linux build systems (e.g., Yocto). Desired Characteristics: Active/current U.S. security clearance Proven track record of writing winning proposals with U.S. government agencies such as DOE, ARPA-e, CESER, DOD, DARPA, etc. Working knowledge of real-time hypervisors (e.g., RTS, VxWorks) and containers (e.g., Docker). Experience with real-time operating systems (e.g., QNX, RTLinux, etc.). Understanding of embedded system security requirements and cyber security techniques. Eligibility Requirements Ability to maintain a U.S. security clearance, prerequisite for clearance is U.S. citizenship. Applicants must be currently authorized to work in the United States without the need for employer sponsorship. This role is not eligible for employer immigration sponsorship, now or in the future. Must be willing to work out of an office located in Niskayuna, NY GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on February 03, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
07/13/2026
Full time
Job Description Summary As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leads research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a Senior Embedded Computing Engineer, you will be responsible for architecting, implementing, and testing of Edge solutions for embedded systems. You will have the opportunity to lead multimillion-dollar R&D programs aligned with GE Vernova's energy businesses such as Power Generation, Renewables, and Hydro as well as with U.S. Government Agencies such as the Department of Defense and the Department of Energy. The technologies developed under these programs will be matured and transitioned into GE business products. You will shape and foster strategic collaborations with government partners, national laboratories, universities, and strategic business partners to drive innovative embedded computing solutions for GE. Job Description Roles and Responsibilities: Work with GE Vernova businesses to help transition edge computing, real-time embedded controls, and embedded communication systems from early-stage lab demonstrations to fieldable prototypes. Design, model, simulate, implement, and optimize real-time critical embedded systems. Work with hardware suppliers and engineering tool providers to identify and select solutions for challenging industrial and defense applications. Work with U.S. government agencies to shape winning proposals and lead projects that will create innovative solutions to protect the nation's most critical infrastructure. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded computing. Publish technical papers, file patents, and contribute to open-source communities. Required Qualifications: Ph.D. in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 7 years of industry experience OR Master's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 10 years of industry experience OR Bachelor's Degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related disciplines with a minimum of 15 years of industry experience. 3- 7 years of strong FPGA/SoC design and development experience with Verilog and VHDL. 3- 7 years of knowledge of Xilinx and/or Altera devices, tools, and ecosystem (e.g., ModelSim, Intel Quartus, Xilinx Vivado, etc.). 3- 7 years of experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. 3- 7 years of experience with heterogeneous computer architectures and hardware acceleration techniques. 3- 7 years of strong embedded programming skills (e.g., C/C++/C#, Java, Python, MATLAB, etc.). 3- 7 years of experience with Linux driver and/or Linux kernel development and Linux build systems (e.g., Yocto). Desired Characteristics: Active/current U.S. security clearance Proven track record of writing winning proposals with U.S. government agencies such as DOE, ARPA-e, CESER, DOD, DARPA, etc. Working knowledge of real-time hypervisors (e.g., RTS, VxWorks) and containers (e.g., Docker). Experience with real-time operating systems (e.g., QNX, RTLinux, etc.). Understanding of embedded system security requirements and cyber security techniques. Eligibility Requirements Ability to maintain a U.S. security clearance, prerequisite for clearance is U.S. citizenship. Applicants must be currently authorized to work in the United States without the need for employer sponsorship. This role is not eligible for employer immigration sponsorship, now or in the future. Must be willing to work out of an office located in Niskayuna, NY GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on February 03, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Application deadline: Jul 19, 2026 Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delegating tasks appropriately within the group for long term projects will all be critical tasks for this role. Deep knowledge of the domain and is sought after as a thought-leader across the organization. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Minimal Travel Required. You are expected to be onsite at a minimum five days a week. Key job responsibilities - Technical Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components - Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management - Cloud Services: Work with AWS or similar cloud platforms to support hybrid infrastructure environments - System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations - Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis - Documentation & Training: Create and maintain technical documentation, develop training materials, and support team knowledge sharing - Collaboration: Work effectively with global teams, provide technical consultation, and support cross-functional projects - Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts - Operational Support: Available for 24/7 on-call rotation and up to 20% travel About the team AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 2+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 104 000.00 USD annually USA, WA, Seattle - 104 000.00 USD annually
07/12/2026
Full time
Application deadline: Jul 19, 2026 Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delegating tasks appropriately within the group for long term projects will all be critical tasks for this role. Deep knowledge of the domain and is sought after as a thought-leader across the organization. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Minimal Travel Required. You are expected to be onsite at a minimum five days a week. Key job responsibilities - Technical Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components - Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management - Cloud Services: Work with AWS or similar cloud platforms to support hybrid infrastructure environments - System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations - Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis - Documentation & Training: Create and maintain technical documentation, develop training materials, and support team knowledge sharing - Collaboration: Work effectively with global teams, provide technical consultation, and support cross-functional projects - Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts - Operational Support: Available for 24/7 on-call rotation and up to 20% travel About the team AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 2+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 104 000.00 USD annually USA, WA, Seattle - 104 000.00 USD annually
Job Description Summary As an FPGA Design Research Engineer, you will have the opportunity to architect and develop state-of-the-art embedded systems for real-time controls and industrial communication applications. You will lead and contribute to R&D projects that are aligned with GE Vernova's energy businesses such as Renewables, Gas Power, Power Conversion, Hydro, and Grid Solutions. Moreover, you will have the opportunity to shape, pursue, and execute R&D efforts in partnership with U.S. Government Agencies such as the Department of Energy (DOE) and the Department of Defense (DOD), universities, and national labs. Technologies developed under these programs will be matured and transitioned into GE business products. Are you ready to join our team of technology enthusiasts to drive the energy transition for a more sustainable future? As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Roles and Responsibilities Develop FPGA solutions for embedded systems and industrial control systems (ICS). Leverage FPGA design tools to develop, simulate, test, and optimize real-time embedded systems. Shape and pursue external opportunities with U.S. government agencies such as the DOE and DOD. Work with GE businesses to help transition real-time embedded controls and communication systems from early-stage lab demonstrations to fieldable prototypes. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded systems. Publish technical papers, file patents, and contribute to open-source communities. Qualifications/Requirements Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR Master's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 2 years of industry experience OR Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. 2-5 years of strong FPGA and SoC design experience using Verilog, SystemVerilog and VHDL 2-5 years of hands-on experience with Xilinx and/or Intel (Altera) FPGA devices, tools, and ecosystems (e.g., ModelSim, Intel Quartus, Xilinx Vivado) 2-5 years of solid understanding of digital logic design, including FSMs, pipelining, and resource optimization. 2-5 years of experience with RTL simulation, synthesis, place-and-route, and timing closure 2-5 years of knowledge of clock domain crossing (CDC) techniques and metastability mitigation 2-5 years of familiarity with high-speed and standard interfaces (UART, SPI, I C, Ethernet, PCIe, DDR) 2-5 years of experience developing testbenches and performing functional verification. 2-5 years of proficiency with on-chip debugging tools (e.g., ILA, SignalTap) 2-5 years of ability to read and interpret schematics, timing diagrams, and hardware datasheets 2-5 years of experience using version control systems (Git preferred) 2-5 years of experience with high-level synthesis (HLS) tools and algorithm-to-hardware workflows, including Vitis HLS and integration with MathWorks MATLAB/Simulink for model-based design and verification. Desired Characteristics: Experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. Strong embedded programming skills (e.g., C/C++, C#, Python, etc.). Experience with Linux build systems (e.g., Yocto). Working knowledge of Linux driver and/or kernel development Experience writing firmware and with low-level programming (e.g., microcontrollers). Working knowledge of real-time operating systems (e.g., QNX, RTLinux, or VxWorks). Familiarity with virtualization technologies such as hypervisors, Docker containers, etc. Experience with CI/CD technologies (e.g., GitLab, Jenkins, etc.). Eligibility Requirements Legal authorization to work in the US is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on June 09, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
07/12/2026
Full time
Job Description Summary As an FPGA Design Research Engineer, you will have the opportunity to architect and develop state-of-the-art embedded systems for real-time controls and industrial communication applications. You will lead and contribute to R&D projects that are aligned with GE Vernova's energy businesses such as Renewables, Gas Power, Power Conversion, Hydro, and Grid Solutions. Moreover, you will have the opportunity to shape, pursue, and execute R&D efforts in partnership with U.S. Government Agencies such as the Department of Energy (DOE) and the Department of Defense (DOD), universities, and national labs. Technologies developed under these programs will be matured and transitioned into GE business products. Are you ready to join our team of technology enthusiasts to drive the energy transition for a more sustainable future? As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Roles and Responsibilities Develop FPGA solutions for embedded systems and industrial control systems (ICS). Leverage FPGA design tools to develop, simulate, test, and optimize real-time embedded systems. Shape and pursue external opportunities with U.S. government agencies such as the DOE and DOD. Work with GE businesses to help transition real-time embedded controls and communication systems from early-stage lab demonstrations to fieldable prototypes. Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in embedded systems. Publish technical papers, file patents, and contribute to open-source communities. Qualifications/Requirements Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR Master's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 2 years of industry experience OR Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. 2-5 years of strong FPGA and SoC design experience using Verilog, SystemVerilog and VHDL 2-5 years of hands-on experience with Xilinx and/or Intel (Altera) FPGA devices, tools, and ecosystems (e.g., ModelSim, Intel Quartus, Xilinx Vivado) 2-5 years of solid understanding of digital logic design, including FSMs, pipelining, and resource optimization. 2-5 years of experience with RTL simulation, synthesis, place-and-route, and timing closure 2-5 years of knowledge of clock domain crossing (CDC) techniques and metastability mitigation 2-5 years of familiarity with high-speed and standard interfaces (UART, SPI, I C, Ethernet, PCIe, DDR) 2-5 years of experience developing testbenches and performing functional verification. 2-5 years of proficiency with on-chip debugging tools (e.g., ILA, SignalTap) 2-5 years of ability to read and interpret schematics, timing diagrams, and hardware datasheets 2-5 years of experience using version control systems (Git preferred) 2-5 years of experience with high-level synthesis (HLS) tools and algorithm-to-hardware workflows, including Vitis HLS and integration with MathWorks MATLAB/Simulink for model-based design and verification. Desired Characteristics: Experience with the development of real-time embedded applications and systems on microcontrollers, FPGAs, x86, and/or ARM processors. Strong embedded programming skills (e.g., C/C++, C#, Python, etc.). Experience with Linux build systems (e.g., Yocto). Working knowledge of Linux driver and/or kernel development Experience writing firmware and with low-level programming (e.g., microcontrollers). Working knowledge of real-time operating systems (e.g., QNX, RTLinux, or VxWorks). Familiarity with virtualization technologies such as hypervisors, Docker containers, etc. Experience with CI/CD technologies (e.g., GitLab, Jenkins, etc.). Eligibility Requirements Legal authorization to work in the US is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: ineligible. This posting is expected to remain open for at least seven days after it was posted on June 09, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delegating tasks appropriately within the group for long term projects will all be critical tasks for this role. Deep knowledge of the domain and is sought after as a thought-leader across the organization. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Minimal Travel Required. You are expected to be onsite at a minimum five days a week. Key job responsibilities - IT Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components - Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management - Cloud Services: Work with AWS or similar cloud platforms to support hybrid infrastructure environments - System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations - Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis - Documentation & Training: Create and maintain technical documentation, develop training materials, and support team knowledge sharing - Collaboration: Work effectively with global teams, provide technical consultation, and support cross-functional projects - Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts - Operational Support: Available for 24/7 on-call rotation and up to 20% travel About the team AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 2+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 104 000.00 USD annually
07/12/2026
Full time
Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delegating tasks appropriately within the group for long term projects will all be critical tasks for this role. Deep knowledge of the domain and is sought after as a thought-leader across the organization. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Minimal Travel Required. You are expected to be onsite at a minimum five days a week. Key job responsibilities - IT Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components - Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management - Cloud Services: Work with AWS or similar cloud platforms to support hybrid infrastructure environments - System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations - Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis - Documentation & Training: Create and maintain technical documentation, develop training materials, and support team knowledge sharing - Collaboration: Work effectively with global teams, provide technical consultation, and support cross-functional projects - Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts - Operational Support: Available for 24/7 on-call rotation and up to 20% travel About the team AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 2+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 104 000.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Our team is growing and we are looking to hire a motivated Network Deployment Project Lead to join our growing Infrastructure Delivery team. The role encompasses end-to-end ownership of medium to large-scale Data Center cabling deployments including migrations, new sites, and new regions. Our ideal candidate is someone who enjoys working autonomously, is detail oriented, possesses strong written and verbal communication skills as well as being competent in all aspects of installation and troubleshooting of networking hardware, software and fiber connectivity. This position requires that you will work with minimum supervision to assist in the development of innovative ways to automate and scale our data center deployments as we expand. Key job responsibilities This role includes: • Initial cabling planning, installation, validation, and quality assessment. • Engaging external contractors including newly onboarded cabling vendors. • Planning and working with a wide range of project stakeholders to determine device and cabling requirements, scheduling resources to meet project timelines, engage external vendors, and continuous status reporting. • Installation of, racking and stacking networking devices, running and patching fiber cabling, and configuring devices using automation tools and the command line interface. • Validation, device troubleshooting and stress testing prior to capacity delivery. • Willingness to travel up to 50% including some local and international assignments throughout AMER. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. EEO/Accommodations AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting BASIC QUALIFICATIONS - 1+ years of computer networking experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair - Knowledge of network design, protocols and troubleshooting PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MS, Canton - 27.00 - 48.00 USD hourly
07/12/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Our team is growing and we are looking to hire a motivated Network Deployment Project Lead to join our growing Infrastructure Delivery team. The role encompasses end-to-end ownership of medium to large-scale Data Center cabling deployments including migrations, new sites, and new regions. Our ideal candidate is someone who enjoys working autonomously, is detail oriented, possesses strong written and verbal communication skills as well as being competent in all aspects of installation and troubleshooting of networking hardware, software and fiber connectivity. This position requires that you will work with minimum supervision to assist in the development of innovative ways to automate and scale our data center deployments as we expand. Key job responsibilities This role includes: • Initial cabling planning, installation, validation, and quality assessment. • Engaging external contractors including newly onboarded cabling vendors. • Planning and working with a wide range of project stakeholders to determine device and cabling requirements, scheduling resources to meet project timelines, engage external vendors, and continuous status reporting. • Installation of, racking and stacking networking devices, running and patching fiber cabling, and configuring devices using automation tools and the command line interface. • Validation, device troubleshooting and stress testing prior to capacity delivery. • Willingness to travel up to 50% including some local and international assignments throughout AMER. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. EEO/Accommodations AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting BASIC QUALIFICATIONS - 1+ years of computer networking experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair - Knowledge of network design, protocols and troubleshooting PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MS, Canton - 27.00 - 48.00 USD hourly
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/12/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a NW Deployment Build Lead I you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects Any physical requirements are expectations with reasonable accommodations Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stake holders to remove project obstacles Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 50 lbs A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. About the team Our Philadelphia Region is expanding into an ML Cluster, and we are very excited to expand our team with dedicated Infrastructure Deployment Technicians to help our scaling our network and server capacity. This team covers the whole Pennsylvania region with all the sites inside and outside the perimeter. There is travel involved as we move where the capacity is needed. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, PA, Berwick - 30.00 - 54.00 USD hourly
07/12/2026
Full time
Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a NW Deployment Build Lead I you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects Any physical requirements are expectations with reasonable accommodations Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stake holders to remove project obstacles Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 50 lbs A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. About the team Our Philadelphia Region is expanding into an ML Cluster, and we are very excited to expand our team with dedicated Infrastructure Deployment Technicians to help our scaling our network and server capacity. This team covers the whole Pennsylvania region with all the sites inside and outside the perimeter. There is travel involved as we move where the capacity is needed. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, PA, Berwick - 30.00 - 54.00 USD hourly
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Network Deployment Technician at AWS, you will get to help build and maintain a Cloud Computing Infrastructure across a number of data center and colocation sites in the Americas. The role involves some periods working independently of your team and requires the ability to drive change while maintaining excellent communication. Key job responsibilities • Installation and configuration of routers, switches and DWDM hardware. • Troubleshoot fiber optic and copper cabling, network installations and configuration. • Coordinating colocation remote hands for new capacity installations. • Work cross functionally with internal partners to deliver network capacity projects. • Resolving data center and facility issues. • Identify, coordinate, and remediate outside plant (OSP) connectivity issues. • Lead small to mid-size network deployment projects. • Building relationships with remote teams to ensure swift response times to events. • Performing site audits to ensure safety and quality meets AWS standards. • Improving all operational processes within each site and/or cage. • Providing status updates to stakeholders via internal tools. • Decommissioning of cable and network hardware in collaboration with partner teams as needed. • Physical Requirements (all physical requirements may be done with reasonable accommodations). This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines. • This role may involve up to 50% travel; the vast majority is local travel but may have the potential to include domestic and international travel to support the organization. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 2+ years of computer networking experience - 2+ years of Linux operating systems experience - Experience in computer networking - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair - Bachelor's degree in Information Technology, Computer Science, or a related field; or equivalent work experience in a relevant technical discipline. PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) - 3+ years of computer networking and Linux operating system experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Clifton - 27.00 - 48.00 USD hourly
07/12/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Network Deployment Technician at AWS, you will get to help build and maintain a Cloud Computing Infrastructure across a number of data center and colocation sites in the Americas. The role involves some periods working independently of your team and requires the ability to drive change while maintaining excellent communication. Key job responsibilities • Installation and configuration of routers, switches and DWDM hardware. • Troubleshoot fiber optic and copper cabling, network installations and configuration. • Coordinating colocation remote hands for new capacity installations. • Work cross functionally with internal partners to deliver network capacity projects. • Resolving data center and facility issues. • Identify, coordinate, and remediate outside plant (OSP) connectivity issues. • Lead small to mid-size network deployment projects. • Building relationships with remote teams to ensure swift response times to events. • Performing site audits to ensure safety and quality meets AWS standards. • Improving all operational processes within each site and/or cage. • Providing status updates to stakeholders via internal tools. • Decommissioning of cable and network hardware in collaboration with partner teams as needed. • Physical Requirements (all physical requirements may be done with reasonable accommodations). This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines. • This role may involve up to 50% travel; the vast majority is local travel but may have the potential to include domestic and international travel to support the organization. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 2+ years of computer networking experience - 2+ years of Linux operating systems experience - Experience in computer networking - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair - Bachelor's degree in Information Technology, Computer Science, or a related field; or equivalent work experience in a relevant technical discipline. PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) - 3+ years of computer networking and Linux operating system experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Clifton - 27.00 - 48.00 USD hourly
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/12/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/12/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
07/12/2026
Full time
Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology
