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senior machine learning engineer
Senior CNC Machinist
ALIGN PRECISION Kennebunkport, Maine
Job Description Job Description WE ARE OFFERING A 30K SIGN-0N BONUS FOR RELOCATION FOR ANY CANDIDATE WANTING TO MOVE TO BEAUTIFUL MAINE! Job Overview We are seeking a skilled CNC Machinist to join our dynamic team. The ideal candidate will have a strong background in operating CNC machinery and a passion for precision engineering. As a CNC Machinist, you will be responsible for producing high-quality parts and components according to specifications, ensuring adherence to safety standards and quality control measures. Your expertise in blueprint reading and mechanical knowledge will be essential in delivering exceptional results. Responsibilities Set up and operate 3, 4, and/or 5 Axis CNC Mill machines with an emphasis on 5 Axis machining, turning centers, and multi-axis machines. Build Fixtures to drawing requirements. Completes required work consistent with customer's blueprint and specifications. Inspects work for conformance to specification. May operate more than one machine simultaneously. Completes all paperwork accurately and keeps work area clean. Reports and/or corrects any unsafe conditions immediately and maintains an acceptable safety record. Maintains a satisfactory attendance and punctuality record. Measure and document as required inspection data to assure part compliance, utilizing mechanical methods, manual and automated CMMs. Train Machine Operators if/when job is turned over to production. Ability to work independently and identify issues, and problem solve in a productive timeframe. Experience with tight tolerance aerospace / defense and semi-conductor NPI machining with the ability to hold tolerances of +/- .0002." Must be able to maintain a 90% efficiency rate during set-up/operation, and scrap rate of less than 1%. Setup, Prove-out and optimize process to minimize cycle-time and increase probability of success while communicating and working with other departments i.e.) Sales, Engineering, Quality, and Deburring/Finishing Qualifications Minimum of five years successful experience setting up and operating 5-Axis CNC Mill Machines, prior aerospace and/or defense experience strongly preferred. Extensive knowledge of Mill tooling. Ability to read and understand blueprints. Proficiency with surface plate inspection. Proficiency with various materials including aluminum, steel and stainless steel. Strong problem-solving skills and good mathematical skills. Qualified candidates will have their own tools. Strong understanding of GD&T. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do.
07/26/2026
Full time
Job Description Job Description WE ARE OFFERING A 30K SIGN-0N BONUS FOR RELOCATION FOR ANY CANDIDATE WANTING TO MOVE TO BEAUTIFUL MAINE! Job Overview We are seeking a skilled CNC Machinist to join our dynamic team. The ideal candidate will have a strong background in operating CNC machinery and a passion for precision engineering. As a CNC Machinist, you will be responsible for producing high-quality parts and components according to specifications, ensuring adherence to safety standards and quality control measures. Your expertise in blueprint reading and mechanical knowledge will be essential in delivering exceptional results. Responsibilities Set up and operate 3, 4, and/or 5 Axis CNC Mill machines with an emphasis on 5 Axis machining, turning centers, and multi-axis machines. Build Fixtures to drawing requirements. Completes required work consistent with customer's blueprint and specifications. Inspects work for conformance to specification. May operate more than one machine simultaneously. Completes all paperwork accurately and keeps work area clean. Reports and/or corrects any unsafe conditions immediately and maintains an acceptable safety record. Maintains a satisfactory attendance and punctuality record. Measure and document as required inspection data to assure part compliance, utilizing mechanical methods, manual and automated CMMs. Train Machine Operators if/when job is turned over to production. Ability to work independently and identify issues, and problem solve in a productive timeframe. Experience with tight tolerance aerospace / defense and semi-conductor NPI machining with the ability to hold tolerances of +/- .0002." Must be able to maintain a 90% efficiency rate during set-up/operation, and scrap rate of less than 1%. Setup, Prove-out and optimize process to minimize cycle-time and increase probability of success while communicating and working with other departments i.e.) Sales, Engineering, Quality, and Deburring/Finishing Qualifications Minimum of five years successful experience setting up and operating 5-Axis CNC Mill Machines, prior aerospace and/or defense experience strongly preferred. Extensive knowledge of Mill tooling. Ability to read and understand blueprints. Proficiency with surface plate inspection. Proficiency with various materials including aluminum, steel and stainless steel. Strong problem-solving skills and good mathematical skills. Qualified candidates will have their own tools. Strong understanding of GD&T. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do.
Senior Engineer, ML Engineering (Databricks)
Curinos Inc New York, New York
Job Description Job Description Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. Job Description We are looking for a Senior Machine Learning Engineer to support our Databricks-native machine learning (ML) and AI platform. In this role you will operationalize production-grade ML and AI models, manage deployments, and own building and maintaining robust monitoring and governance pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators. We are a Databricks shop, and in this role, you are expected to be familiar with the Databricks ecosystem, including Databricks Workflows, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code, as well as tools like MonteCarlo, Fiddler, and MLFlow. In addition to solid technical skills, this role requires strong communication across functions and product teams, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. As a FinTech, Curinos operates in a highly regulated environment, and this role is critical in ensuring high-quality model monitoring and compliance. Responsibilities Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails Build and maintain robust and scalable monitoring pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators to ensure SLA adherence, scalability, reproducibility, and reliability Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies Support governance and compliance requirements: model registry usage, auditability, and reproducibility Document processes, automation frameworks, and operational runbooks Bring best practices to bear on the team's products and educate the team members Salary Range: $ 130,000- $147,000 USD (plus bonus) Desired Skills & Expertise Strong hands-on experience with Databricks: Workflows, Delta Lake, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code. Proficiency with MLflow for experiment tracking, model registry, and deployments. Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints. Familiarity with Python, Spark, and SQL for data and ML workflows. Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.). Competency with shell scripting in a Linux environment nice to have Exposure to contemporary big data and AI stacks and technologies: Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot Some experience with real-time processing nice to have Solid understanding of data structures and algorithms Some experience with production support Self-discipline and willingness to learn Solid verbal and written communication skills Team player and ability to work well with others in an intellectually challenging environment Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from Flexible working options, including home working, flexible hours and part time options, depending on the role requirements - please ask! Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday Learning and development tools to assist with your career development Work with industry leading Subject Matter Experts and specialist products Regular social events and networking opportunities Collaborative, supportive culture, including an active DE&I program Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services Applying We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we'll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
07/26/2026
Full time
Job Description Job Description Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. Job Description We are looking for a Senior Machine Learning Engineer to support our Databricks-native machine learning (ML) and AI platform. In this role you will operationalize production-grade ML and AI models, manage deployments, and own building and maintaining robust monitoring and governance pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators. We are a Databricks shop, and in this role, you are expected to be familiar with the Databricks ecosystem, including Databricks Workflows, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code, as well as tools like MonteCarlo, Fiddler, and MLFlow. In addition to solid technical skills, this role requires strong communication across functions and product teams, including data scientists, data engineers, and product managers; ability to drive clarity from requirements; and active participation and sense of ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment. As a FinTech, Curinos operates in a highly regulated environment, and this role is critical in ensuring high-quality model monitoring and compliance. Responsibilities Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails Build and maintain robust and scalable monitoring pipelines for ML model performance, agentic and generative AI guardrails and safety, and LLMs evaluators to ensure SLA adherence, scalability, reproducibility, and reliability Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies Support governance and compliance requirements: model registry usage, auditability, and reproducibility Document processes, automation frameworks, and operational runbooks Bring best practices to bear on the team's products and educate the team members Salary Range: $ 130,000- $147,000 USD (plus bonus) Desired Skills & Expertise Strong hands-on experience with Databricks: Workflows, Delta Lake, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code. Proficiency with MLflow for experiment tracking, model registry, and deployments. Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints. Familiarity with Python, Spark, and SQL for data and ML workflows. Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins, etc.). Competency with shell scripting in a Linux environment nice to have Exposure to contemporary big data and AI stacks and technologies: Yarn, AWS, Spark, Databricks, distributed computing, chatGPT, Claude, Copilot Some experience with real-time processing nice to have Solid understanding of data structures and algorithms Some experience with production support Self-discipline and willingness to learn Solid verbal and written communication skills Team player and ability to work well with others in an intellectually challenging environment Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from Flexible working options, including home working, flexible hours and part time options, depending on the role requirements - please ask! Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday Learning and development tools to assist with your career development Work with industry leading Subject Matter Experts and specialist products Regular social events and networking opportunities Collaborative, supportive culture, including an active DE&I program Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services Applying We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we'll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
Intel
Yield Development Engineering Manager-Strategic Programs
Intel Hillsboro, Oregon
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/26/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Intel
Yield Development Engineering Manager-Strategic Programs
Intel Lafayette, Oregon
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/26/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Intel
Yield Development Engineering Manager-Strategic Programs
Intel Vernonia, Oregon
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/26/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Intel
Yield Development Engineering Manager-Strategic Programs
Intel Portland, Oregon
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/26/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Refrigeration Service Technician - Commercial & Industrial
CoolSys Bridgeport, Connecticut
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
07/26/2026
Full time
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
Refrigeration Service Technician - Commercial & Industrial
CoolSys Norwalk, Connecticut
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
07/26/2026
Full time
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
Intel
Yield Development Engineering Manager-Strategic Programs
Intel Phoenix, Arizona
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/26/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Refrigeration Service Technician - Commercial & Industrial
CoolSys Stamford, Connecticut
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
07/26/2026
Full time
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
Refrigeration Service Technician - Commercial & Industrial
CoolSys White Plains, New York
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
07/26/2026
Full time
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: $27-$46 range and Sign-On Bonus up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K). Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 4 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and Twi tter . Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
Refrigeration Service Technician - Commercial & Industrial
CoolSys Downingtown, Pennsylvania
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: Up to $45/hr Sign on Bonus: Up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match. Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 3 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Must have passed Tech Skills level 4 with an 80% or better. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Environment This job typically operates in convenience stores, grocery stores, food service and/or construction environment with need to work at heights from ladders and/or Scissor lifts. Mechanical rooms can have elevated noise levels. The position regularly works near/with refrigeration/HVAC equipment that can expose the workers to extreme cold from refrigerant and high heat from brazing operations. This role routinely works in outside conditions that include inclement weather, heat and humidity, and exposure to dust. These conditions require employees to use the correct PPE and safe work practices. Physical Demands This position is very active and requires excellent stamina to perform strenuous physical labor under adverse field conditions. Employees are regularly required to walk and stand for long periods, hear, drive, sit, bend, kneel, stoop, crouch, crawl, climb, use hands and fingers, and lift and/or move up to 25 pounds, occasionally up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and X . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
07/26/2026
Full time
Overview: WHY COOLSYS? At CoolSys, we offer more than just a job-we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America's Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: Competitive Compensation: Up to $45/hr Sign on Bonus: Up to $5,000 DOE Ongoing Education & Training: Access to state-of-the-art facilities and paid online training. Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match. Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: JOB SUMMARY The Service Tech 3 - Refrigeration is responsible for troubleshooting, maintaining, and repairing refrigeration systems. They are expected to handle complex technical issues, provide guidance to junior technicians, and ensure the safe, efficient, and reliable operation of refrigeration equipment for commercial or industrial clients. ESSENTIAL DUTIES AND RESPONSIBILITIES Ability to report to work in a timely manner as scheduled by supervisor. Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devices and other similar machinery. Test malfunctioning systems and components using electrical and/or mechanical skills. Maintain legible corporate and personal records of work history. Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. Perform work on minor construction and remodeling projects including startups of new installations. Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety). Performs other duties as assigned. Qualifications: Education / Training High school diploma or GED, equivalent work experience and trade or technical school classes. Must have passed Tech Skills level 4 with an 80% or better. Valid EPA certificate. Work Experience / Skills 3-5 year's experience in commercial HVAC, refrigeration, and electrical required. Basic knowledge of refrigeration, HVAC, ice machines, gas furnaces, and electrical. Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Knowledge and understanding of the functions for single/multipule unit systems, rack systems, parallel racks, and rack control units along with previous work and understanding on display cases and walk-in boxes. Strong knowledge of open circuits on a rack compressor control circuit. Knowledge of lock out/tag out and arc flash equipment. Knowledge of a case lineup with electric defrost circuits. Knowledge and ability to use an RS engineering sheet. Knowledge of minimum DA/RA and SST requirements for FF/IC systems. Ability to identify refrigeration floor plan symbols. Ability to take readings of compressor parameters, compression ratios and repair deficiencies. Knowledge of proper material handling techniques. Knowledge of HVAC valve settings, preventative maintenance, how to locate leaks with a refrigerant leak detector, and report large refrigerant leaks. Ability to demonstrate proper PPE and safety equipment. Knowledge of level 2-3 experience/information. Must be able to lift up to 60 lbs. with no assistance and be able to sit and/or stand for several hours at a time. Valid driver's license. Good driving record. Ability to understand and follow all company policies and procedures and all applicable State and Federal laws. Ability to use typical business tools including E-Mail, Word, Excel, etc. PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Environment This job typically operates in convenience stores, grocery stores, food service and/or construction environment with need to work at heights from ladders and/or Scissor lifts. Mechanical rooms can have elevated noise levels. The position regularly works near/with refrigeration/HVAC equipment that can expose the workers to extreme cold from refrigerant and high heat from brazing operations. This role routinely works in outside conditions that include inclement weather, heat and humidity, and exposure to dust. These conditions require employees to use the correct PPE and safe work practices. Physical Demands This position is very active and requires excellent stamina to perform strenuous physical labor under adverse field conditions. Employees are regularly required to walk and stand for long periods, hear, drive, sit, bend, kneel, stoop, crouch, crawl, climb, use hands and fingers, and lift and/or move up to 25 pounds, occasionally up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands . Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on Facebook and X . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems
Senior CNC Machinist
ALIGN PRECISION Kennebunkport, Maine
Job Description Job Description WE ARE OFFERING A 30K SIGN-0N BONUS FOR RELOCATION FOR ANY CANDIDATE WANTING TO MOVE TO BEAUTIFUL MAINE! Job Overview We are seeking a skilled CNC Machinist to join our dynamic team. The ideal candidate will have a strong background in operating CNC machinery and a passion for precision engineering. As a CNC Machinist, you will be responsible for producing high-quality parts and components according to specifications, ensuring adherence to safety standards and quality control measures. Your expertise in blueprint reading and mechanical knowledge will be essential in delivering exceptional results. Responsibilities Set up and operate 3, 4, and/or 5 Axis CNC Mill machines with an emphasis on 5 Axis machining, turning centers, and multi-axis machines. Build Fixtures to drawing requirements. Completes required work consistent with customer's blueprint and specifications. Inspects work for conformance to specification. May operate more than one machine simultaneously. Completes all paperwork accurately and keeps work area clean. Reports and/or corrects any unsafe conditions immediately and maintains an acceptable safety record. Maintains a satisfactory attendance and punctuality record. Measure and document as required inspection data to assure part compliance, utilizing mechanical methods, manual and automated CMMs. Train Machine Operators if/when job is turned over to production. Ability to work independently and identify issues, and problem solve in a productive timeframe. Experience with tight tolerance aerospace / defense and semi-conductor NPI machining with the ability to hold tolerances of +/- .0002." Must be able to maintain a 90% efficiency rate during set-up/operation, and scrap rate of less than 1%. Setup, Prove-out and optimize process to minimize cycle-time and increase probability of success while communicating and working with other departments i.e.) Sales, Engineering, Quality, and Deburring/Finishing Qualifications Minimum of five years successful experience setting up and operating 5-Axis CNC Mill Machines, prior aerospace and/or defense experience strongly preferred. Extensive knowledge of Mill tooling. Ability to read and understand blueprints. Proficiency with surface plate inspection. Proficiency with various materials including aluminum, steel and stainless steel. Strong problem-solving skills and good mathematical skills. Qualified candidates will have their own tools. Strong understanding of GD&T. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do.
07/26/2026
Full time
Job Description Job Description WE ARE OFFERING A 30K SIGN-0N BONUS FOR RELOCATION FOR ANY CANDIDATE WANTING TO MOVE TO BEAUTIFUL MAINE! Job Overview We are seeking a skilled CNC Machinist to join our dynamic team. The ideal candidate will have a strong background in operating CNC machinery and a passion for precision engineering. As a CNC Machinist, you will be responsible for producing high-quality parts and components according to specifications, ensuring adherence to safety standards and quality control measures. Your expertise in blueprint reading and mechanical knowledge will be essential in delivering exceptional results. Responsibilities Set up and operate 3, 4, and/or 5 Axis CNC Mill machines with an emphasis on 5 Axis machining, turning centers, and multi-axis machines. Build Fixtures to drawing requirements. Completes required work consistent with customer's blueprint and specifications. Inspects work for conformance to specification. May operate more than one machine simultaneously. Completes all paperwork accurately and keeps work area clean. Reports and/or corrects any unsafe conditions immediately and maintains an acceptable safety record. Maintains a satisfactory attendance and punctuality record. Measure and document as required inspection data to assure part compliance, utilizing mechanical methods, manual and automated CMMs. Train Machine Operators if/when job is turned over to production. Ability to work independently and identify issues, and problem solve in a productive timeframe. Experience with tight tolerance aerospace / defense and semi-conductor NPI machining with the ability to hold tolerances of +/- .0002." Must be able to maintain a 90% efficiency rate during set-up/operation, and scrap rate of less than 1%. Setup, Prove-out and optimize process to minimize cycle-time and increase probability of success while communicating and working with other departments i.e.) Sales, Engineering, Quality, and Deburring/Finishing Qualifications Minimum of five years successful experience setting up and operating 5-Axis CNC Mill Machines, prior aerospace and/or defense experience strongly preferred. Extensive knowledge of Mill tooling. Ability to read and understand blueprints. Proficiency with surface plate inspection. Proficiency with various materials including aluminum, steel and stainless steel. Strong problem-solving skills and good mathematical skills. Qualified candidates will have their own tools. Strong understanding of GD&T. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do. Company Description Manufacturing excellence starts from within. Our teams collaborate and share knowledge across our facilities. We thrive through continual learning and mentoring. From apprenticeship to leadership, our people are proud of the important work we do.
Genworth
Vice President, Enterprise Architecture and AI
Genworth Richmond, Virginia
Job Description At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Vice President, Enterprise Architecture and AI This role is not eligible for employment visa sponsorship. POSITION LOCATION This position is available to Virginia residents in Richmond, Virginia in office/hybrid applicants. A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. YOUR ROLE Genworth CareScout 's Technology Organization is on a transformational journey to become a leading enterprise technology function, one that drives innovation, enables business agility, and delivers scalable, resilient, and customer-centric solutions. At this pivotal moment, Genworth CareScout is seeking a visionary and transformational executive to serve as Vice President, Enterprise Architecture and AI, reporting directly to the Chief Information Officer. This Vice President will own the enterprise-wide architecture vision and AI strategy that shapes how we build, modernize, and evolve our technology landscape. The role carries full executive accountability for defining technology direction, enterprise standards, governance frameworks, and reference architectures, while simultaneously leading AI as a transformative enterprise capability that accelerates business outcomes across Genworth and CareScout. As a critical member of the Technology Leadership Team, this role will set the architectural and AI agenda for the enterprise, chair the Architecture Review Board, and serve as a key voice in shaping Genworth's goals and Future-Proof Technology Strategy. The VP oversees the full Architecture discipline: Enterprise Architecture, Data Architecture, Infrastructure Architecture, Platform Architecture, Security Architecture, Solution Architecture, and the Architecture leadership function-as well as enterprise AI strategy, governance, and enablement. This is a unique opportunity to shape the future of technology at Genworth CareScout, lead cross-functional teams, and drive enterprise-wide transformation across a diverse portfolio of insurance, digital, and services businesses. WHAT YOU WILL BE DOING Enterprise Architecture Strategy & Vision Set and own Genworth's enterprise architecture vision and long-term technology strategy, ensuring direct alignment with business objectives and the Future-Proof Technology Strategy Establish and govern target-state architectures, business capability models, value streams, and enterprise technology roadmaps that drive investment decisions, platform modernization, and portfolio rationalization Lead enterprise-wide current-state assessments and strategic gap analyses across application, data, infrastructure, security, and integration domains to shape transformation priorities and capital allocation Drive architectural coherence and technology simplification across the enterprise, reducing fragmentation and ensuring solutions are scalable, interoperable, and aligned to shared enterprise standards Serve as the enterprise's chief architectural authority, providing executive-level strategic counsel on technology direction, platform strategy, emerging risks, and long-term technology investments AI Strategy & Enterprise Enablement Own and drive the enterprise AI strategy, architecture roadmap, and reference frameworks that enable scalable, responsible, and measurable AI adoption across Genworth and CareScout Lead the vision and architecture for AI capabilities including machine learning, generative AI/LLMs, intelligent automation, agentic AI patterns, and advanced analytics at enterprise scale Establish comprehensive AI governance frameworks covering model lifecycle management, responsible AI principles, data quality, bias monitoring, explainability, and regulatory compliance Own the enterprise AI intake and prioritization process, ensuring AI investments are strategically aligned to high-value business outcomes and governed by enterprise architecture standards Partner with executive leaders across the organization to identify transformative AI opportunities and drive enterprise-wide adoption Architect enterprise AI platforms and integration patterns that ensure scalability, reproducibility, observability, cost efficiency, and security across production environments Represent the company's AI vision and capabilities to the Board of Directors, regulators, industry forums, and strategic partners Architecture Governance & Standards Establish and chair the Architecture Review Board (ARB), ensuring enterprise architectural decisions are consistent, strategically governed, and positioned to enable-not gate-delivery Define and enforce architecture governance processes, policies, and enterprise standards leveraging frameworks such as TOGAF and industry best practices Own the development and evolution of architecture principles, reference models, technology standards, and enterprise pattern libraries that accelerate delivery and promote reuse at scale Govern the enterprise technology portfolio to optimize investments, reduce redundancy, retire technical debt, and ensure alignment to target-state architectures and business priorities Ensure enterprise architecture and AI practices support regulatory compliance, data governance, privacy, and security-by-design principles across all technology domains Business Partnership & Strategic Advisory Serve as a trusted executive advisor to the CIO, executive leadership team, and Board of Directors on technology direction, AI strategy, architectural trade-offs, and enterprise risk Translate complex business and market challenges into elegant, scalable architectural strategies that balance immediate operational needs with long-term enterprise positioning Partner at the executive level with Engineering, Cybersecurity, Infrastructure, Delivery, and business leaders to ensure architectural alignment and shared accountability across all technology domains Own enterprise-level build vs. buy recommendations, vendor platform evaluations, and strategic technology investment decisions with clear architectural and business rationale Deliver executive-level reporting on architecture maturity, AI enablement progress, technology risk posture, and strategic outcomes to senior leadership and Board-level governance forums Represent Genworth externally in industry forums, technology partnerships, and peer networks to advance the company's technology reputation and inform strategic direction Technology Modernization & Innovation Drive enterprise technology modernization strategy including cloud adoption, API-enabled architectures, microservices, platform rationalization, and legacy-to-modern transitions across Genworth's insurance and digital ecosystems Own enterprise integration strategy connecting core insurance platforms, digital channels, data ecosystems, CareScout services, and third-party partners through modern, scalable architectural patterns Anticipate and evaluate emerging technologies, architectural paradigms, and AI advancements, providing the enterprise with a forward-looking perspective on opportunities, risks, and strategic implications Champion innovation by sponsoring proof-of-value initiatives across AI, automation, intelligent document processing, advanced analytics, and next-generation platform capabilities Advance business target architectures and the enterprise architecture pattern library to accelerate delivery velocity and promote consistent, reusable solutions across the organization Build & Lead High-Performing Teams Build, lead, and scale a world-class architecture and AI organization, attracting and retaining top talent across enterprise architecture, solution architecture, data architecture, AI engineering, and related disciplines Develop and mentor the next generation of architecture and AI leaders, building deep bench strength and a clear succession pipeline . click apply for full job details
07/24/2026
Full time
Job Description At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Vice President, Enterprise Architecture and AI This role is not eligible for employment visa sponsorship. POSITION LOCATION This position is available to Virginia residents in Richmond, Virginia in office/hybrid applicants. A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. YOUR ROLE Genworth CareScout 's Technology Organization is on a transformational journey to become a leading enterprise technology function, one that drives innovation, enables business agility, and delivers scalable, resilient, and customer-centric solutions. At this pivotal moment, Genworth CareScout is seeking a visionary and transformational executive to serve as Vice President, Enterprise Architecture and AI, reporting directly to the Chief Information Officer. This Vice President will own the enterprise-wide architecture vision and AI strategy that shapes how we build, modernize, and evolve our technology landscape. The role carries full executive accountability for defining technology direction, enterprise standards, governance frameworks, and reference architectures, while simultaneously leading AI as a transformative enterprise capability that accelerates business outcomes across Genworth and CareScout. As a critical member of the Technology Leadership Team, this role will set the architectural and AI agenda for the enterprise, chair the Architecture Review Board, and serve as a key voice in shaping Genworth's goals and Future-Proof Technology Strategy. The VP oversees the full Architecture discipline: Enterprise Architecture, Data Architecture, Infrastructure Architecture, Platform Architecture, Security Architecture, Solution Architecture, and the Architecture leadership function-as well as enterprise AI strategy, governance, and enablement. This is a unique opportunity to shape the future of technology at Genworth CareScout, lead cross-functional teams, and drive enterprise-wide transformation across a diverse portfolio of insurance, digital, and services businesses. WHAT YOU WILL BE DOING Enterprise Architecture Strategy & Vision Set and own Genworth's enterprise architecture vision and long-term technology strategy, ensuring direct alignment with business objectives and the Future-Proof Technology Strategy Establish and govern target-state architectures, business capability models, value streams, and enterprise technology roadmaps that drive investment decisions, platform modernization, and portfolio rationalization Lead enterprise-wide current-state assessments and strategic gap analyses across application, data, infrastructure, security, and integration domains to shape transformation priorities and capital allocation Drive architectural coherence and technology simplification across the enterprise, reducing fragmentation and ensuring solutions are scalable, interoperable, and aligned to shared enterprise standards Serve as the enterprise's chief architectural authority, providing executive-level strategic counsel on technology direction, platform strategy, emerging risks, and long-term technology investments AI Strategy & Enterprise Enablement Own and drive the enterprise AI strategy, architecture roadmap, and reference frameworks that enable scalable, responsible, and measurable AI adoption across Genworth and CareScout Lead the vision and architecture for AI capabilities including machine learning, generative AI/LLMs, intelligent automation, agentic AI patterns, and advanced analytics at enterprise scale Establish comprehensive AI governance frameworks covering model lifecycle management, responsible AI principles, data quality, bias monitoring, explainability, and regulatory compliance Own the enterprise AI intake and prioritization process, ensuring AI investments are strategically aligned to high-value business outcomes and governed by enterprise architecture standards Partner with executive leaders across the organization to identify transformative AI opportunities and drive enterprise-wide adoption Architect enterprise AI platforms and integration patterns that ensure scalability, reproducibility, observability, cost efficiency, and security across production environments Represent the company's AI vision and capabilities to the Board of Directors, regulators, industry forums, and strategic partners Architecture Governance & Standards Establish and chair the Architecture Review Board (ARB), ensuring enterprise architectural decisions are consistent, strategically governed, and positioned to enable-not gate-delivery Define and enforce architecture governance processes, policies, and enterprise standards leveraging frameworks such as TOGAF and industry best practices Own the development and evolution of architecture principles, reference models, technology standards, and enterprise pattern libraries that accelerate delivery and promote reuse at scale Govern the enterprise technology portfolio to optimize investments, reduce redundancy, retire technical debt, and ensure alignment to target-state architectures and business priorities Ensure enterprise architecture and AI practices support regulatory compliance, data governance, privacy, and security-by-design principles across all technology domains Business Partnership & Strategic Advisory Serve as a trusted executive advisor to the CIO, executive leadership team, and Board of Directors on technology direction, AI strategy, architectural trade-offs, and enterprise risk Translate complex business and market challenges into elegant, scalable architectural strategies that balance immediate operational needs with long-term enterprise positioning Partner at the executive level with Engineering, Cybersecurity, Infrastructure, Delivery, and business leaders to ensure architectural alignment and shared accountability across all technology domains Own enterprise-level build vs. buy recommendations, vendor platform evaluations, and strategic technology investment decisions with clear architectural and business rationale Deliver executive-level reporting on architecture maturity, AI enablement progress, technology risk posture, and strategic outcomes to senior leadership and Board-level governance forums Represent Genworth externally in industry forums, technology partnerships, and peer networks to advance the company's technology reputation and inform strategic direction Technology Modernization & Innovation Drive enterprise technology modernization strategy including cloud adoption, API-enabled architectures, microservices, platform rationalization, and legacy-to-modern transitions across Genworth's insurance and digital ecosystems Own enterprise integration strategy connecting core insurance platforms, digital channels, data ecosystems, CareScout services, and third-party partners through modern, scalable architectural patterns Anticipate and evaluate emerging technologies, architectural paradigms, and AI advancements, providing the enterprise with a forward-looking perspective on opportunities, risks, and strategic implications Champion innovation by sponsoring proof-of-value initiatives across AI, automation, intelligent document processing, advanced analytics, and next-generation platform capabilities Advance business target architectures and the enterprise architecture pattern library to accelerate delivery velocity and promote consistent, reusable solutions across the organization Build & Lead High-Performing Teams Build, lead, and scale a world-class architecture and AI organization, attracting and retaining top talent across enterprise architecture, solution architecture, data architecture, AI engineering, and related disciplines Develop and mentor the next generation of architecture and AI leaders, building deep bench strength and a clear succession pipeline . click apply for full job details
Senior Product Manager, Accounts Payable
Auditoria.AI Santa Clara, California
Job Description Job Description About Us We're an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance. Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights. Founded in 2019 and backed by KPMG, Workday Ventures, Dell Technologies, Venrock, Innovius Capital, Sentinel Global, NeoTribe Ventures, Engineering Capital, and Firebolt Ventures, we build AI Team Mates that drive intelligent automation by combining fine-grained analytical orchestration of a company's typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office. We've received numerous awards including: Best AI-Powered Financial Automation Solution of 2026 by Acquisition International Magazine's Global Excellence Awards. CBInsights Fintech 100 - 2025. Global Excellence Awards - Best AI-Driven Finance Automation Platform - 2025 Winner. Q3 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row. The Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. About the Role We are looking for an experienced enterprise software Product Manager to join Auditoria's Product Management team. In this role, you will have the opportunity to define and deliver a completely new integrated experience and drive new growth for the business through our revolutionary AI Teammates which autonomously execute business process workflows for the Office of the CFO, seamlessly and securely operating against all the Systems of Record and Systems of Communication which Enterprise Finance teams use. This is a very exciting time to join a team that is shaping the company's growth strategy, create, and own end-to-end products and their success in the marketplace. This role reports into the Director of Product Management AP/P2P and works cross functionally with the Product and Engineering organization, Sales, Professional Services, and with Auditoria partners. It is a hands-on role, based in Santa Clara, California. Those candidates selected to advance in the interview process will be required to participate in in-person interviews. If hired, employees will be expected to work from the Santa Clara office a minimum of three (3) days per week. Please note that relocation assistance is not available for this role at this time. Key Responsibilities Ownership of Auditoria's offerings for the AP/P2P (Procure-to-pay). Hands-on complete inbound and outbound product management responsibilities. Set strategic objectives (OKRs/KPIs) that align with corporate goals (e.g., revenue growth, profitability, market share), measure them, and ship products which meet or exceed them. Roadmap ownership, prioritize investments across new features, enhancements, and technical debt to maximize ROI. Evaluate market offerings for build/buy fit, and for competitive aspects. Positioning, messaging, sales and field enablement, partner enablement. Participate in any pre-sales and post-sales customer and partner activities representing the products. Collaborate across the Engineering, Pre-sales, Professional Services, Support teams and build a culture of customer-first with unmatched competence, excellence across all the functions. Qualifications Bachelor's degree in information systems or accounting. 5+ years of experience as a Senior Product Manager, with a proven track record of successfully shipping Enterprise SaaS offerings. Excellent understanding of the Office of the CFO, its business process workflows and its tech stack in large enterprises across multiple verticals. Shipped complex enterprise products on time, on budget, with raving customer reviews and top SaaS/AI margins. Experience with AI technology: language models (large and small, proprietary and open source), SDLC of apps that are built using AI tech, UX paradigms for users interfacing with AI. Adept at building consensus across diverse, globally distributed teams and customer communities, utilizing strong interpersonal and influencing skills to deliver strategic vision. Must be currently authorized to work in the United States without employer sponsorship, as we are unable to sponsor or transfer visas for this position. Must be located in or within commuting distance of Santa Clara, CA to be considered. PI1d487a3999f4-2543
07/24/2026
Full time
Job Description Job Description About Us We're an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance. Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights. Founded in 2019 and backed by KPMG, Workday Ventures, Dell Technologies, Venrock, Innovius Capital, Sentinel Global, NeoTribe Ventures, Engineering Capital, and Firebolt Ventures, we build AI Team Mates that drive intelligent automation by combining fine-grained analytical orchestration of a company's typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office. We've received numerous awards including: Best AI-Powered Financial Automation Solution of 2026 by Acquisition International Magazine's Global Excellence Awards. CBInsights Fintech 100 - 2025. Global Excellence Awards - Best AI-Driven Finance Automation Platform - 2025 Winner. Q3 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row. The Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. About the Role We are looking for an experienced enterprise software Product Manager to join Auditoria's Product Management team. In this role, you will have the opportunity to define and deliver a completely new integrated experience and drive new growth for the business through our revolutionary AI Teammates which autonomously execute business process workflows for the Office of the CFO, seamlessly and securely operating against all the Systems of Record and Systems of Communication which Enterprise Finance teams use. This is a very exciting time to join a team that is shaping the company's growth strategy, create, and own end-to-end products and their success in the marketplace. This role reports into the Director of Product Management AP/P2P and works cross functionally with the Product and Engineering organization, Sales, Professional Services, and with Auditoria partners. It is a hands-on role, based in Santa Clara, California. Those candidates selected to advance in the interview process will be required to participate in in-person interviews. If hired, employees will be expected to work from the Santa Clara office a minimum of three (3) days per week. Please note that relocation assistance is not available for this role at this time. Key Responsibilities Ownership of Auditoria's offerings for the AP/P2P (Procure-to-pay). Hands-on complete inbound and outbound product management responsibilities. Set strategic objectives (OKRs/KPIs) that align with corporate goals (e.g., revenue growth, profitability, market share), measure them, and ship products which meet or exceed them. Roadmap ownership, prioritize investments across new features, enhancements, and technical debt to maximize ROI. Evaluate market offerings for build/buy fit, and for competitive aspects. Positioning, messaging, sales and field enablement, partner enablement. Participate in any pre-sales and post-sales customer and partner activities representing the products. Collaborate across the Engineering, Pre-sales, Professional Services, Support teams and build a culture of customer-first with unmatched competence, excellence across all the functions. Qualifications Bachelor's degree in information systems or accounting. 5+ years of experience as a Senior Product Manager, with a proven track record of successfully shipping Enterprise SaaS offerings. Excellent understanding of the Office of the CFO, its business process workflows and its tech stack in large enterprises across multiple verticals. Shipped complex enterprise products on time, on budget, with raving customer reviews and top SaaS/AI margins. Experience with AI technology: language models (large and small, proprietary and open source), SDLC of apps that are built using AI tech, UX paradigms for users interfacing with AI. Adept at building consensus across diverse, globally distributed teams and customer communities, utilizing strong interpersonal and influencing skills to deliver strategic vision. Must be currently authorized to work in the United States without employer sponsorship, as we are unable to sponsor or transfer visas for this position. Must be located in or within commuting distance of Santa Clara, CA to be considered. PI1d487a3999f4-2543
Senior Product Manager, Accounts Payable
Auditoria.AI Santa Clara, California
About Us We're an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance. Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights. Founded in 2019 and backed by KPMG, Workday Ventures, Dell Technologies, Venrock, Innovius Capital, Sentinel Global, NeoTribe Ventures, Engineering Capital, and Firebolt Ventures, we build AI Team Mates that drive intelligent automation by combining fine-grained analytical orchestration of a company's typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office. We've received numerous awards including: Best AI-Powered Financial Automation Solution of 2026 by Acquisition International Magazine's Global Excellence Awards. CBInsights Fintech 100 - 2025. Global Excellence Awards - Best AI-Driven Finance Automation Platform - 2025 Winner. Q3 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row. The Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. About the Role We are looking for an experienced enterprise software Product Manager to join Auditoria's Product Management team. In this role, you will have the opportunity to define and deliver a completely new integrated experience and drive new growth for the business through our revolutionary AI Teammates which autonomously execute business process workflows for the Office of the CFO, seamlessly and securely operating against all the Systems of Record and Systems of Communication which Enterprise Finance teams use. This is a very exciting time to join a team that is shaping the company's growth strategy, create, and own end-to-end products and their success in the marketplace. This role reports into the Director of Product Management AP/P2P and works cross functionally with the Product and Engineering organization, Sales, Professional Services, and with Auditoria partners. It is a hands-on role, based in Santa Clara, California. Those candidates selected to advance in the interview process will be required to participate in in-person interviews. If hired, employees will be expected to work from the Santa Clara office a minimum of three (3) days per week. Please note that relocation assistance is not available for this role at this time. Key Responsibilities Ownership of Auditoria's offerings for the AP/P2P (Procure-to-pay). Hands-on complete inbound and outbound product management responsibilities. Set strategic objectives (OKRs/KPIs) that align with corporate goals (e.g., revenue growth, profitability, market share), measure them, and ship products which meet or exceed them. Roadmap ownership, prioritize investments across new features, enhancements, and technical debt to maximize ROI. Evaluate market offerings for build/buy fit, and for competitive aspects. Positioning, messaging, sales and field enablement, partner enablement. Participate in any pre-sales and post-sales customer and partner activities representing the products. Collaborate across the Engineering, Pre-sales, Professional Services, Support teams and build a culture of customer-first with unmatched competence, excellence across all the functions. Qualifications Bachelor's degree in information systems or accounting. 5+ years of experience as a Senior Product Manager, with a proven track record of successfully shipping Enterprise SaaS offerings. Excellent understanding of the Office of the CFO, its business process workflows and its tech stack in large enterprises across multiple verticals. Shipped complex enterprise products on time, on budget, with raving customer reviews and top SaaS/AI margins. Experience with AI technology: language models (large and small, proprietary and open source), SDLC of apps that are built using AI tech, UX paradigms for users interfacing with AI. Adept at building consensus across diverse, globally distributed teams and customer communities, utilizing strong interpersonal and influencing skills to deliver strategic vision. Must be currently authorized to work in the United States without employer sponsorship, as we are unable to sponsor or transfer visas for this position. Must be located in or within commuting distance of Santa Clara, CA to be considered. PIdd1feabd27fb-2543
07/23/2026
Full time
About Us We're an AI-driven SaaS automation provider for corporate finance that automates back-office business processes involving tasks, analytics, and responses in Accounts Payable and Accounts Receivable. By leveraging natural language processing, artificial intelligence, and machine learning, based on proprietary small language models and commercial LLMs, Auditoria removes friction and repetition from mundane tasks while automating complex functions and providing real-time visibility into cash performance. Corporate finance and accounting teams use Auditoria to accelerate business value while minimizing heavy IT involvement, improving business resilience, lowering attrition, and accelerating business insights. Founded in 2019 and backed by KPMG, Workday Ventures, Dell Technologies, Venrock, Innovius Capital, Sentinel Global, NeoTribe Ventures, Engineering Capital, and Firebolt Ventures, we build AI Team Mates that drive intelligent automation by combining fine-grained analytical orchestration of a company's typical financial and audit workflows with conversational AI, delivering rapid value to the finance/audit back office. We've received numerous awards including: Best AI-Powered Financial Automation Solution of 2026 by Acquisition International Magazine's Global Excellence Awards. CBInsights Fintech 100 - 2025. Global Excellence Awards - Best AI-Driven Finance Automation Platform - 2025 Winner. Q3 2024 Constellation ShortList for AI-Driven Cognitive Applications for the fifth year in a row. The Gartner Emerging Tech Impact Radar: Artificial Intelligence Report 2024 named Auditoria as a sample vendor for Composite AI. Named a sample vendor for intelligent applications in finance in the Hype Cycle for Autonomous Accounting, 2024, the Hype Cycle for Finance AI and Advanced Analytics, 2024, and the Hype Cycle for the Future of Enterprise Applications, 2024 reports. About the Role We are looking for an experienced enterprise software Product Manager to join Auditoria's Product Management team. In this role, you will have the opportunity to define and deliver a completely new integrated experience and drive new growth for the business through our revolutionary AI Teammates which autonomously execute business process workflows for the Office of the CFO, seamlessly and securely operating against all the Systems of Record and Systems of Communication which Enterprise Finance teams use. This is a very exciting time to join a team that is shaping the company's growth strategy, create, and own end-to-end products and their success in the marketplace. This role reports into the Director of Product Management AP/P2P and works cross functionally with the Product and Engineering organization, Sales, Professional Services, and with Auditoria partners. It is a hands-on role, based in Santa Clara, California. Those candidates selected to advance in the interview process will be required to participate in in-person interviews. If hired, employees will be expected to work from the Santa Clara office a minimum of three (3) days per week. Please note that relocation assistance is not available for this role at this time. Key Responsibilities Ownership of Auditoria's offerings for the AP/P2P (Procure-to-pay). Hands-on complete inbound and outbound product management responsibilities. Set strategic objectives (OKRs/KPIs) that align with corporate goals (e.g., revenue growth, profitability, market share), measure them, and ship products which meet or exceed them. Roadmap ownership, prioritize investments across new features, enhancements, and technical debt to maximize ROI. Evaluate market offerings for build/buy fit, and for competitive aspects. Positioning, messaging, sales and field enablement, partner enablement. Participate in any pre-sales and post-sales customer and partner activities representing the products. Collaborate across the Engineering, Pre-sales, Professional Services, Support teams and build a culture of customer-first with unmatched competence, excellence across all the functions. Qualifications Bachelor's degree in information systems or accounting. 5+ years of experience as a Senior Product Manager, with a proven track record of successfully shipping Enterprise SaaS offerings. Excellent understanding of the Office of the CFO, its business process workflows and its tech stack in large enterprises across multiple verticals. Shipped complex enterprise products on time, on budget, with raving customer reviews and top SaaS/AI margins. Experience with AI technology: language models (large and small, proprietary and open source), SDLC of apps that are built using AI tech, UX paradigms for users interfacing with AI. Adept at building consensus across diverse, globally distributed teams and customer communities, utilizing strong interpersonal and influencing skills to deliver strategic vision. Must be currently authorized to work in the United States without employer sponsorship, as we are unable to sponsor or transfer visas for this position. Must be located in or within commuting distance of Santa Clara, CA to be considered. PIdd1feabd27fb-2543
Bosch Group
Senior Principal Engineer- End-to-End AI Training Framework
Bosch Group Sunnyvale, California
Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
07/18/2026
Full time
Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Senior Manufacturing Test Development Engineer
JABIL CIRCUIT, INC Austin, Texas
Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus
07/18/2026
Full time
Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus
Senior Manufacturing Test Development Engineer
JABIL CIRCUIT, INC Washington, Washington DC
Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus
07/18/2026
Full time
Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus
Intel
Yield Development Engineering Manager-Strategic Programs
Intel Lafayette, Oregon
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/12/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

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