Boeing
El Segundo, California
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. At Boeing's Space Mission Systems, we innovate and collaborate to advance connectivity for a better world. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with exceptional opportunity for professional growth. Find your future with us. SMS is seeking a Chief Engineer, Artificial Intelligence and Autonomy to lead the establishment, growth, and operational maturation of the enterprise AI function across the full portfolio of SMS programs in Seal Beach or El Segundo, CA. This is a newly created management position responsible for increasing the adoption and integration of AI capabilities throughout SMS engineering programs, manufacturing operations, and flight systems. This Chief Engineer will define and execute the Company's AI strategy across strategic domains including manufacturing intelligence, constellation autonomy, spectrum orchestration, and AI-assisted engineering. The role reports to Engineering VP and Space Missions Systems Chief Engineer, with a dotted-line report to the VP of Program Management and cross-functional authority across Engineering, Flight Operations, and Manufacturing. Position Responsibilities: Enterprise AI Strategy & Program Coordination: Develop and maintain a comprehensive enterprise AI strategy that increases the use of AI across the full portfolio of SMS programs, serving as the primary coordinator between programs and engineering leadership Define and present the enterprise AI roadmap to Segment Leadership, the VP of Program Management, and the executive leadership team, including business case definition, value propositions, technology readiness level (TRL) reduction plans, and program on-ramp strategies for AI-assisted engineering and space edge compute Coordinate between SMS programs and engineering organizations on the adoption and deployment of AI-assisted coding tools and autonomous software agents to accelerate development velocity and reduce engineering cycle times Identify, evaluate, and manage strategic AI partnerships, vendor relationships, and technology acquisitions that accelerate the Company's AI capabilities Mature and facilitate the intake, qualification, and prioritization of AI, analytics, and automation projects across programs, ensuring the right problems are addressed with executive sponsorship Organizational Design & Team Building: Establish the AI & Autonomy function as a new organizational capability from the ground up, defining structure, operating model, and governance Recruit, hire, and lead a cross-functional AI team spanning AI/ML engineers, data engineers, data scientists, MLOps engineers, and domain specialists Build and manage an independent AI budget, compute infrastructure (GPU clusters), tooling, and vendor partnerships AI-Assisted Engineering & Autonomous Agents: Drive the adoption of AI-assisted coding and autonomous agents across SMS engineering programs, enabling engineers to leverage generative AI, code copilots, and agentic workflows for design, analysis, and verification tasks Develop the business strategy, TRL reduction roadmap, and program on-ramp plans for integrating AI into engineering workflows and space edge compute flight systems, from concept through flight qualification and operational deployment Facilitate discovery workshops with engineering and program leaders to define problems, quantify value, and scope AI solutions across the portfolio Factory AI Automation & Manufacturing Intelligence: Lead development and deployment of AI automation for factory processes, including photographic and computer vision-based quality inspections of satellite components and assemblies Implement AI-driven engineering buy-off automation, accelerating verification and validation across integration and test workflows through autonomous review and decision support Deploy autonomous research capabilities enabling AI-assisted document analysis, anomaly flagging, and compliance verification across satellite build records and End Item Data Packages (EIDPs) Deliver a fully integrated Factory Product Assurance Automation Platform supporting satellite production at scale Flight Edge Computing & Machine Learning: Create and own the business strategy, TRL reduction plan, and technology maturation roadmap for AI-assisted engineering of space edge compute systems, flight inference processors, and onboard machine learning architectures-from early concept through flight qualification and operational deployment Define hardware architecture for space edge compute, onboard storage, and flight inference systems, enabling AI-driven data store-and-forward, real-time ML inference, and autonomous decision-making capabilities on operational satellites Develop and deploy ML models for constellation scheduling optimization, including beam allocation, power management, thermal budget optimization, and coverage planning Close the sim-to-reality gap by using on-orbit performance truth data to continuously improve predictive models and feed insights back into factory integration and test procedures Spectrum Orchestration & Autonomous Operations: Develop and deploy AI-driven dynamic interference mapping and avoidance protocols across the constellation's operating spectrum, leveraging physics-informed models validated against on-orbit telemetry Build AI-optimized beam-hopping and resource scheduling systems that dynamically allocate spectrum and power resources based on real-time demand, interference conditions, and orbital geometry Deliver the integrated Spectrum Allocation Orchestration Platform as an operational system managing dynamic spectrum access across the commercial constellation Cross-Functional Integration & Stakeholder Engagement: Operate with cross-functional authority across Engineering, Flight Operations, Manufacturing, and Product to embed AI into existing workflows, coordinating with the VP of Program Management to align AI initiatives with program schedules and milestones Establish standing technical syncs with Engineering, Flight Operations, and Manufacturing leadership to ensure AI initiatives are validated against domain expertise before deployment Lead stakeholder communications covering AI strategies, program status, and value delivery across SMS leadership and program teams Create materials and media to convey AI strategies and product value, including presentations, demonstrations, visual diagrams, and technical briefings Position AI as an amplifier of existing engineering capabilities-not a replacement-ensuring adoption is collaborative and trust-based across the organization 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 5+ years of experience building and leading artificial intelligence/machine learning organizations from inception, including hiring, budgeting, infrastructure provisioning, and delivery of production machine learning systems Experience with cross-functional leadership working with different organizations and operations teams Experience developing artificial intelligence/machine learning strategies including business case development, TRL (Technology Readiness Level) assessment, and technology transition planning Preferred Qualifications (Desired Skills/Experience): Active TS/SCI clearance 10+ years of experience collaborating with and influencing senior management and executive leadership across engineering, operations, and program management functions Experience with physics-informed machine learning, custom ML models for hardware systems, and AI deployment in safety-critical or mission-critical environments Experience with satellite communications, phased array antenna systems, digital beamforming, or comparable complex RF/signal processing systems Bachelor's degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field Excellent stakeholder management skills including the ability to communicate with and influence people from varying backgrounds, including members of senior leadership teams Experience in aerospace and defense satellite programs (constellation management, payload engineering, launch operations) Experience with AI-assisted software development tools, autonomous coding agents, and agentic AI workflows in engineering environments Experience with manufacturing AI including computer vision quality inspection, predictive maintenance, and factory digital twins Background in space edge computing, flight inference systems, onboard ML, and flight computer architectures for space applications, including TRL maturation of compute hardware Experience with ASIC/custom silicon architectures and understanding of how DSP hardware intersects with ML inference workloads . click apply for full job details
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. At Boeing's Space Mission Systems, we innovate and collaborate to advance connectivity for a better world. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with exceptional opportunity for professional growth. Find your future with us. SMS is seeking a Chief Engineer, Artificial Intelligence and Autonomy to lead the establishment, growth, and operational maturation of the enterprise AI function across the full portfolio of SMS programs in Seal Beach or El Segundo, CA. This is a newly created management position responsible for increasing the adoption and integration of AI capabilities throughout SMS engineering programs, manufacturing operations, and flight systems. This Chief Engineer will define and execute the Company's AI strategy across strategic domains including manufacturing intelligence, constellation autonomy, spectrum orchestration, and AI-assisted engineering. The role reports to Engineering VP and Space Missions Systems Chief Engineer, with a dotted-line report to the VP of Program Management and cross-functional authority across Engineering, Flight Operations, and Manufacturing. Position Responsibilities: Enterprise AI Strategy & Program Coordination: Develop and maintain a comprehensive enterprise AI strategy that increases the use of AI across the full portfolio of SMS programs, serving as the primary coordinator between programs and engineering leadership Define and present the enterprise AI roadmap to Segment Leadership, the VP of Program Management, and the executive leadership team, including business case definition, value propositions, technology readiness level (TRL) reduction plans, and program on-ramp strategies for AI-assisted engineering and space edge compute Coordinate between SMS programs and engineering organizations on the adoption and deployment of AI-assisted coding tools and autonomous software agents to accelerate development velocity and reduce engineering cycle times Identify, evaluate, and manage strategic AI partnerships, vendor relationships, and technology acquisitions that accelerate the Company's AI capabilities Mature and facilitate the intake, qualification, and prioritization of AI, analytics, and automation projects across programs, ensuring the right problems are addressed with executive sponsorship Organizational Design & Team Building: Establish the AI & Autonomy function as a new organizational capability from the ground up, defining structure, operating model, and governance Recruit, hire, and lead a cross-functional AI team spanning AI/ML engineers, data engineers, data scientists, MLOps engineers, and domain specialists Build and manage an independent AI budget, compute infrastructure (GPU clusters), tooling, and vendor partnerships AI-Assisted Engineering & Autonomous Agents: Drive the adoption of AI-assisted coding and autonomous agents across SMS engineering programs, enabling engineers to leverage generative AI, code copilots, and agentic workflows for design, analysis, and verification tasks Develop the business strategy, TRL reduction roadmap, and program on-ramp plans for integrating AI into engineering workflows and space edge compute flight systems, from concept through flight qualification and operational deployment Facilitate discovery workshops with engineering and program leaders to define problems, quantify value, and scope AI solutions across the portfolio Factory AI Automation & Manufacturing Intelligence: Lead development and deployment of AI automation for factory processes, including photographic and computer vision-based quality inspections of satellite components and assemblies Implement AI-driven engineering buy-off automation, accelerating verification and validation across integration and test workflows through autonomous review and decision support Deploy autonomous research capabilities enabling AI-assisted document analysis, anomaly flagging, and compliance verification across satellite build records and End Item Data Packages (EIDPs) Deliver a fully integrated Factory Product Assurance Automation Platform supporting satellite production at scale Flight Edge Computing & Machine Learning: Create and own the business strategy, TRL reduction plan, and technology maturation roadmap for AI-assisted engineering of space edge compute systems, flight inference processors, and onboard machine learning architectures-from early concept through flight qualification and operational deployment Define hardware architecture for space edge compute, onboard storage, and flight inference systems, enabling AI-driven data store-and-forward, real-time ML inference, and autonomous decision-making capabilities on operational satellites Develop and deploy ML models for constellation scheduling optimization, including beam allocation, power management, thermal budget optimization, and coverage planning Close the sim-to-reality gap by using on-orbit performance truth data to continuously improve predictive models and feed insights back into factory integration and test procedures Spectrum Orchestration & Autonomous Operations: Develop and deploy AI-driven dynamic interference mapping and avoidance protocols across the constellation's operating spectrum, leveraging physics-informed models validated against on-orbit telemetry Build AI-optimized beam-hopping and resource scheduling systems that dynamically allocate spectrum and power resources based on real-time demand, interference conditions, and orbital geometry Deliver the integrated Spectrum Allocation Orchestration Platform as an operational system managing dynamic spectrum access across the commercial constellation Cross-Functional Integration & Stakeholder Engagement: Operate with cross-functional authority across Engineering, Flight Operations, Manufacturing, and Product to embed AI into existing workflows, coordinating with the VP of Program Management to align AI initiatives with program schedules and milestones Establish standing technical syncs with Engineering, Flight Operations, and Manufacturing leadership to ensure AI initiatives are validated against domain expertise before deployment Lead stakeholder communications covering AI strategies, program status, and value delivery across SMS leadership and program teams Create materials and media to convey AI strategies and product value, including presentations, demonstrations, visual diagrams, and technical briefings Position AI as an amplifier of existing engineering capabilities-not a replacement-ensuring adoption is collaborative and trust-based across the organization 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 5+ years of experience building and leading artificial intelligence/machine learning organizations from inception, including hiring, budgeting, infrastructure provisioning, and delivery of production machine learning systems Experience with cross-functional leadership working with different organizations and operations teams Experience developing artificial intelligence/machine learning strategies including business case development, TRL (Technology Readiness Level) assessment, and technology transition planning Preferred Qualifications (Desired Skills/Experience): Active TS/SCI clearance 10+ years of experience collaborating with and influencing senior management and executive leadership across engineering, operations, and program management functions Experience with physics-informed machine learning, custom ML models for hardware systems, and AI deployment in safety-critical or mission-critical environments Experience with satellite communications, phased array antenna systems, digital beamforming, or comparable complex RF/signal processing systems Bachelor's degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field Excellent stakeholder management skills including the ability to communicate with and influence people from varying backgrounds, including members of senior leadership teams Experience in aerospace and defense satellite programs (constellation management, payload engineering, launch operations) Experience with AI-assisted software development tools, autonomous coding agents, and agentic AI workflows in engineering environments Experience with manufacturing AI including computer vision quality inspection, predictive maintenance, and factory digital twins Background in space edge computing, flight inference systems, onboard ML, and flight computer architectures for space applications, including TRL maturation of compute hardware Experience with ASIC/custom silicon architectures and understanding of how DSP hardware intersects with ML inference workloads . click apply for full job details
Christus Health
Corpus Christi, Texas
Description This position qualifies for a $5K sign on bonus CHRISTUS Spohn Hospital Corpus Christi - Shoreline overlooking Corpus Christi Bay is the largest and foremost acute care medical facility in the region, with a full range of diagnostic and surgical specialty services in cardiac, cancer, and stroke care. It is the leading emergency facility in the area with a Level II Trauma Center in the Coastal Bend, staffed with physicians and nurses specially trained in emergency services. The Pavilion and North Tower house a state-of-the-art emergency department, ICU, Cardiac Cath Lab, and surgical suites A teaching facility in affiliation with the Texas A&M University System Health and Science Center College of Medicine Accredited Chest Pain Center Accredited Joint Commission Stroke Team Summary: This Job performs all routine and complicated laboratory procedures including specimen processing and handling, testing of patient specimens, calculating, and reporting of results, performance of quality control procedures, operation and maintenance of instruments and equipment, assisting in the development of new procedures and protocols, may perform phlebotomy and other patient-oriented tasks, and may perform other related duties as requested or directed. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Performs all routine and complicated laboratory procedures in the primary section to which assigned about age or sex specific values. Operates, maintains, and troubleshoots laboratory instrumentation and equipment and makes minor repairs as necessary or notifies Bio-med as needed. Must cross-train to other laboratory sections as needed. Assures that the laboratory's quality control program is properly followed. Calculates, enters, and/or verifies results of laboratory procedures. Utilizes the Laboratory Information System. Provides notification and documentation of critical laboratory values obtained. Processes patient specimens, including collection, handling, and distribution always cognizant of minimal pediatric specimen volumes (when required). Participates in the evaluation, development, and implementation of new or updated testing procedures and protocols. Demonstrates competence to perform assigned patient care responsibilities in a manner that meets the population-specific and developmental needs of patients served by the department. Appropriately adapts assigned patient assessment, treatment, and/or care methods to accommodate the unique physical, psychosocial, cultural, age specific and other developmental needs of each patient served. Demonstrates adherence to the CORE values of CHRISTUS Health. Must complete all required compliance and regulatory tasks and follow all applicable policies and procedures. Performs other duties as assigned. Job Requirements: Education/Skills Bachelor's Degree or higher in a chemical, physical, biological or clinical laboratory science or medical technology from an accredited institution or equivalent laboratory training and experience meeting the requirements defined in the CLIA regulation 42CFR493.1489 (includes U.S. Military laboratory training courses of at least 50 weeks) OR Education that has been evaluated by an acceptable credentialing agency and deemed equivalent to a US Bachelor's degree in a chemical, physical, biological or clinical laboratory science or medical technology. Experience No experience required for graduates of a clinical laboratory training program approved or accredited by NAACLS, or other organizations approved by HHS. OR One year of approved clinical laboratory experience, which must include a clinical rotation through the following sections of the laboratory: Blood Banking, Microbiology, Chemistry, and Hematology, Immunology, and Urinalysis/Body Fluids in the U.S. or with an accredited laboratory within the last 5 years. Licenses, Registrations, or Certifications Must possess Certification for MT, MLS, CLS, or MLT from ASCP, AMT, AAB, or HEW/HHS If certification with an expiration date is held, the certification must be maintained and kept current Louisiana requires State Licensure New Graduate that is Board Certified or eligible (must complete Board Certification in 1 year of hire, Louisiana excluded) Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time
Description This position qualifies for a $5K sign on bonus CHRISTUS Spohn Hospital Corpus Christi - Shoreline overlooking Corpus Christi Bay is the largest and foremost acute care medical facility in the region, with a full range of diagnostic and surgical specialty services in cardiac, cancer, and stroke care. It is the leading emergency facility in the area with a Level II Trauma Center in the Coastal Bend, staffed with physicians and nurses specially trained in emergency services. The Pavilion and North Tower house a state-of-the-art emergency department, ICU, Cardiac Cath Lab, and surgical suites A teaching facility in affiliation with the Texas A&M University System Health and Science Center College of Medicine Accredited Chest Pain Center Accredited Joint Commission Stroke Team Summary: This Job performs all routine and complicated laboratory procedures including specimen processing and handling, testing of patient specimens, calculating, and reporting of results, performance of quality control procedures, operation and maintenance of instruments and equipment, assisting in the development of new procedures and protocols, may perform phlebotomy and other patient-oriented tasks, and may perform other related duties as requested or directed. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Performs all routine and complicated laboratory procedures in the primary section to which assigned about age or sex specific values. Operates, maintains, and troubleshoots laboratory instrumentation and equipment and makes minor repairs as necessary or notifies Bio-med as needed. Must cross-train to other laboratory sections as needed. Assures that the laboratory's quality control program is properly followed. Calculates, enters, and/or verifies results of laboratory procedures. Utilizes the Laboratory Information System. Provides notification and documentation of critical laboratory values obtained. Processes patient specimens, including collection, handling, and distribution always cognizant of minimal pediatric specimen volumes (when required). Participates in the evaluation, development, and implementation of new or updated testing procedures and protocols. Demonstrates competence to perform assigned patient care responsibilities in a manner that meets the population-specific and developmental needs of patients served by the department. Appropriately adapts assigned patient assessment, treatment, and/or care methods to accommodate the unique physical, psychosocial, cultural, age specific and other developmental needs of each patient served. Demonstrates adherence to the CORE values of CHRISTUS Health. Must complete all required compliance and regulatory tasks and follow all applicable policies and procedures. Performs other duties as assigned. Job Requirements: Education/Skills Bachelor's Degree or higher in a chemical, physical, biological or clinical laboratory science or medical technology from an accredited institution or equivalent laboratory training and experience meeting the requirements defined in the CLIA regulation 42CFR493.1489 (includes U.S. Military laboratory training courses of at least 50 weeks) OR Education that has been evaluated by an acceptable credentialing agency and deemed equivalent to a US Bachelor's degree in a chemical, physical, biological or clinical laboratory science or medical technology. Experience No experience required for graduates of a clinical laboratory training program approved or accredited by NAACLS, or other organizations approved by HHS. OR One year of approved clinical laboratory experience, which must include a clinical rotation through the following sections of the laboratory: Blood Banking, Microbiology, Chemistry, and Hematology, Immunology, and Urinalysis/Body Fluids in the U.S. or with an accredited laboratory within the last 5 years. Licenses, Registrations, or Certifications Must possess Certification for MT, MLS, CLS, or MLT from ASCP, AMT, AAB, or HEW/HHS If certification with an expiration date is held, the certification must be maintained and kept current Louisiana requires State Licensure New Graduate that is Board Certified or eligible (must complete Board Certification in 1 year of hire, Louisiana excluded) Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time
