Technical Internship jobs at Tesla

**To help** **facilitate** **administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** Sunnyvale, California Mountain View, California **Work Arrangement:** Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. **About the Role:** As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. **About the** **Team:** The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. **What** **You'll** **Do:** + Quickly ramp up on assigned codebase, product area, and/or system. + Meet with the cross-functional stakeholders working on code in your assigned area. + Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs. + Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation. + Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. + Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, minecritical scenarios, and prioritize validation efforts, integrating human-in-the-loop whereappropriate. + Complete assigned tasks efficiently with few iterations. + Develop, test, and deploy production-ready code across components of our simulation infrastructure. + Identifyproblem statements, outlineoptimalsolutions, accountfor tradeoffs and edge cases. + Participate in code reviews, technical discussions, and designreviews. + Collaborate with cross-functional teams to ensure seamless software integration. + Communicate effectively across multiple stakeholders. **Required Qualifications:** + Currently pursuing orin the process of obtaininga Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. + Solid understanding of modern machine learning techniques + Demonstrated coursework, research, or projects in AI/ML. + Strong programming skills in Python. + Able to workfulltime,40 hoursper week. **Preferred Qualifications:** + Exposure todeep learning architectures such as Transformers, CNNs, or Diffusion Models. + Hands-on experience with one or more machine learning frameworks (e.g.,PyTorch, TensorFlow, JAX, or Keras). + Experience with robotics, computer vision through projects or research. + Familiarity with multimodal learning or working with sensor data. + Interest in contributing to publications, open-source projects, or patents. + Familiarity with systems programming languages (e.g., C++ or Java) is a plus. + Intent to return todegree-programafter the completion of the internship. **Compensation:** + The monthly salary for this role is $12,300 per month + GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. **What** **you'll** **get from us (Benefits):** + Paid US GM Holidays + GM Family First Vehicle Discount Program + Result-based potential for growth within GM + Intern events to network with company leaders and peers **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. Locations: Mt. View, California Sunnyvale, California About the Team: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. About the Role: As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders. What You'll Do: * Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. * Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML. * Use ML experience to enhance simulated performance metrics. * Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV. * Analyze large scale driving data to identify validation gaps and improve testing coverage. Required Qualifications * Currently enrolled in a Master's program (with at least one year completed) or in the process of obtaining a PhD in Computer Science, Machine Learning, Engineering, or a related technical field. * Experience coding in Python, SQL, C/C++ or others. Preferred Qualifications: * Graduating between December 2026 and August 2027. * Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision. * Intent to return to degree-program after the completion of the internship. * Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers. * Experience in systems software or algorithms. * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences. * Demonstrated creativity and quick problem solving capabilities. * Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable. Compensation: * The monthly salary range for this role is $9,200 and $12,300, dependent upon class status and degree. * GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): * Paid US GM Holidays * GM Family First Vehicle Discount Program * Result-based potential for growth within GM * Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the Team: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. What You'll Do: Quickly ramp up on assigned codebase, product area, and/or system. Meet with the cross-functional stakeholders working on code in your assigned area. Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs. Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation. Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate. Complete assigned tasks efficiently with few iterations. Develop, test, and deploy production-ready code across components of our simulation infrastructure. Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases. Participate in code reviews, technical discussions, and design reviews. Collaborate with cross-functional teams to ensure seamless software integration. Communicate effectively across multiple stakeholders. Required Qualifications: Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. Solid understanding of modern machine learning techniques Demonstrated coursework, research, or projects in AI/ML. Strong programming skills in Python. Able to work fulltime, 40 hours per week. Preferred Qualifications: Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models. Hands-on experience with one or more machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, or Keras). Experience with robotics, computer vision through projects or research. Familiarity with multimodal learning or working with sensor data. Interest in contributing to publications, open-source projects, or patents. Familiarity with systems programming languages (e.g., C++ or Java) is a plus. Intent to return to degree-program after the completion of the internship. Compensation: The monthly salary for this role is $12,300 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) **To help** **facilitate** **administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** **Work Arrangement:** Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. **Location** **s** **:** Mt. View, California Sunnyvale, California **About the Team** **:** The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. **About the Role:** As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders. **What** **You'll** **Do:** + Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. + Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML. + Use ML experience to enhance simulated performance metrics. + Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV. + Analyze large scale driving data to identify validation gaps and improve testing coverage. **Required Qualifications** + Currently enrolled in a Master's program (with at least one year completed) or in the process of obtaining a PhD in Computer Science, Machine Learning, Engineering, or a related technical field. + Experience coding in Python, SQL, C/C++ or others. **Preferred Qualifications** **:** + Graduating between December 2026 and August 2027. + Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision. + Intent to return to degree-program after the completion of the internship. + Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers. + Experience in systems software or algorithms. + Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences. + Demonstrated creativity and quick problem solving capabilities. + Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable. **Compensation:** + The monthly salary range for this role is $9,200 and $12,300, dependent upon class status and degree. + GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. **What** **you'll** **get from us (Benefits):** + Paid US GM Holidays + GM Family First Vehicle Discount Program + Result-based potential for growth within GM + Intern events to network with company leaders and peers **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. Locations: Mt. View, California Sunnyvale, California About the Team: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. About the Role: As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders. What You'll Do: Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML. Use ML experience to enhance simulated performance metrics. Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV. Analyze large scale driving data to identify validation gaps and improve testing coverage. Required Qualifications Currently enrolled in a Master's program (with at least one year completed) and pursuing a degree in Computer Science, Machine Learning, Engineering, or a related technical field. Experience coding in Python, SQL, C/C++ or others. Preferred Qualifications: Graduating between December 2026 and August 2027. Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision. Intent to return to degree-program after the completion of the internship. Demonstrated software engineer experience via an internship, work experience, coding competitions. Experience in systems software or algorithms. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences. Demonstrated creativity and quick problem solving capabilities. Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable. Compensation: The monthly salary range for this role is $9,100 - $10,600 dependent upon class status and degree. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. Locations: Mt. View, California Sunnyvale, California About the Team: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. About the Role: As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders. What You'll Do: * Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. * Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML. * Use ML experience to enhance simulated performance metrics. * Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV. * Analyze large scale driving data to identify validation gaps and improve testing coverage. Required Qualifications * Currently enrolled in a Master's program (with at least one year completed) and pursuing a degree in Computer Science, Machine Learning, Engineering, or a related technical field. * Experience coding in Python, SQL, C/C++ or others. Preferred Qualifications: * Graduating between December 2026 and August 2027. * Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision. * Intent to return to degree-program after the completion of the internship. * Demonstrated software engineer experience via an internship, work experience, coding competitions. * Experience in systems software or algorithms. * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences. * Demonstrated creativity and quick problem solving capabilities. * Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable. Compensation: * The monthly salary range for this role is $9,100 - $10,600 dependent upon class status and degree. * GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): * Paid US GM Holidays * GM Family First Vehicle Discount Program * Result-based potential for growth within GM * Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the Team: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. What You'll Do: * Quickly ramp up on assigned codebase, product area, and/or system. * Meet with the cross-functional stakeholders working on code in your assigned area. * Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs. * Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation. * Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. * Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate. * Complete assigned tasks efficiently with few iterations. * Develop, test, and deploy production-ready code across components of our simulation infrastructure. * Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases. * Participate in code reviews, technical discussions, and design reviews. * Collaborate with cross-functional teams to ensure seamless software integration. * Communicate effectively across multiple stakeholders. Required Qualifications: * Currently pursuing or in the process of obtaining a Master's in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. * Solid understanding of modern machine learning techniques * Demonstrated coursework, research, or projects in AI/ML. * Strong programming skills in Python. * Able to work fulltime, 40 hours per week. Preferred Qualifications: * Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models. * Hands-on experience with one or more machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, or Keras). * Experience with robotics, computer vision through projects or research. * Familiarity with multimodal learning or working with sensor data. * Interest in contributing to publications, open-source projects, or patents. * Familiarity with systems programming languages (e.g., C++ or Java) is a plus. * Intent to return to degree-program after the completion of the internship. Compensation: * The monthly salary for this role is $9,200 per month * GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): * Paid US GM Holidays * GM Family First Vehicle Discount Program * Result-based potential for growth within GM * Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations (in priority order): Sunnyvale, California Mountain View, California About The Role: As a Simulation intern, you'll partner with senior engineers to design, build, and launch real simulation features used daily by GM validation teams. You'll meet customers, turn their needs into clear specs, deliver high‑quality code on our common simulation platform, and measure your impact. Customers likely include Hardware/Software in the Loop teams as well as Autonomous Vehicle software and test authors. About The Team: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to generate meaningful insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. What You'll Do: Quickly ramp up on assigned codebase, product area, and/or system. Meet with your customers to learn about what they do and how you will help. Complete assigned tasks efficiently with few iterations. Develop, test, and deploy production-ready code across components of our simulation infrastructure. Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases Participate in code reviews, technical discussions, and design resign. Collaborate with cross-functional teams to ensure seamless software integration Communicate effectively across multiple stakeholders. Draw in senior developers to help when needed. Required Qualifications: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Master's degree in Computer Science or a related field. Experience coding in Python or C++. Able to work fulltime, 40 hours per week. Preferred Qualifications: Demonstrated software engineering experience from previous internships, work experience, coding competitions, or publications. Intent to return to degree-program after the completion of the internship/co-op. A background in robotics, ROS, or the AV/ADAS industry. Experience with data pipelines/workflows supporting data scientists. Experience building high quality dev productivity tools. Experience developing high-quality software under significant latency and performance constraints. Experience developing or working with safety-critical code. Intent to return to degree-program after the completion of the internship. Graduating between December 2026 and June 2027. Compensation: The monthly salary range for this role is $9,200 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations: Sunnyvale, California Mountain View, California About the Team: The Simulation group builds artificial intelligence (AI) and machine learning (ML) models that power realistic environments for testing and training advanced systems. These simulations generate diverse scenarios that help validate and improve decision-making policies across robotics, autonomous systems, and other AI-driven applications. Think of Simulation as a virtual training ground where complex systems learn to operate safely and effectively. The team develops AI/ML models that control simulated entities-whether vehicles, robots, or other agents-so they interact in realistic and dynamic ways. Our technology stack includes generative models, reinforcement learning (RL), and other ML approaches. The Simulation group collaborates closely with teams in behaviors, perception, safety engineering, and infrastructure to deliver scalable, high-fidelity environments. As an intern, you'll gain hands-on experience in AI/ML model development, training loop optimization, and simulation infrastructure design, while learning from experienced engineers in the robotics and AI space. What You'll Do: Assist in developing ML and RL models, including training loop design and optimization. Help streamline integration and contribute to ML infrastructure, metrics, and data pipelines. Collaborate with the AI/ML team to support rapid experimentation and deployment in simulation environments. Apply software engineering skills to accelerate project timelines in areas such as robotics, autonomous systems, and simulation frameworks. Learn how simulation technologies are applied to real-world AI and ML systems. Participate in code reviews, technical discussions, and design resign Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration Communicate effectively across multiple stakeholders Required Qualifications: We're looking for students who are eager to learn and contribute. What you need is curiosity, strong fundamentals, and a passion for AI and simulation. Currently pursuing a degree in Computer Science, Robotics, Electrical Engineering, or a related field. Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch). Strong programming skills in Python or C++. Exposure to reinforcement learning, generative models, or GPU programming. Interest in simulation, robotics, or autonomous systems. Able to work fulltime, 40 hours per week. Preferred Qualifications: Demonstrated software engineering experience from previous internships, work experience, coding competitions, or publications. Experience with projects involving ML pipelines, optimization, or robotics competitions. Intent to return to degree-program after the completion of the internship/co-op. Compensation: The monthly salary range for this role is $9,200 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the Team: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to build the craziest insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. What You'll Do: Quickly ramp up on assigned codebase, product area, and/or system. Meet with the cross-functional stakeholders working on code in your assigned area. Develop data pipelines to curate inputs, manage ground truth, and aggregate results across large experiment runs. Build validation metrics that produce clear pass/fail signals and confidence intervals for ML model behavior in simulation. Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems. Leverage vision-language models (VLMs) and large language models (LLMs) to classify autonomy performance, mine critical scenarios, and prioritize validation efforts, integrating human-in-the-loop where appropriate. Complete assigned tasks efficiently with few iterations. Develop, test, and deploy production-ready code across components of our simulation infrastructure. Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases. Participate in code reviews, technical discussions, and design reviews. Collaborate with cross-functional teams to ensure seamless software integration. Communicate effectively across multiple stakeholders. Required Qualifications: Currently pursuing or in the process of obtaining a Master's in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. Solid understanding of modern machine learning techniques Demonstrated coursework, research, or projects in AI/ML. Strong programming skills in Python. Able to work fulltime, 40 hours per week. Preferred Qualifications: Exposure to deep learning architectures such as Transformers, CNNs, or Diffusion Models. Hands-on experience with one or more machine learning frameworks (e.g., PyTorch, TensorFlow, JAX, or Keras). Experience with robotics, computer vision through projects or research. Familiarity with multimodal learning or working with sensor data. Interest in contributing to publications, open-source projects, or patents. Familiarity with systems programming languages (e.g., C++ or Java) is a plus. Intent to return to degree-program after the completion of the internship. Compensation: The monthly salary for this role is $9,200 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stiped if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations: Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan About the Role: As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You'll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. What You'll Do: * Develop, test, and deploy production-ready code across components of vehicle platform software. * Quickly ramp up on assigned codebase, product area, and/or system. * Complete assigned tasks efficiently with few iterations. * Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases * Participate in code reviews, technical discussions, and design resign. * Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration. * Communicate effectively across multiple stakeholders. Required Qualifications: * Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's degree in computer science or a related field. * Experience with modern object-oriented programming languages (e.g., Java, C++, Python) preferably in a production or applied project environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Previous experience with software development through internships, class projects, personal projects, or coding competitions. * Experience developing and testing software through internships, coursework, or personal projects. * Familiarity with Linux/POSIX environments and exposure to embedded systems or robotics projects. * Understanding of networking fundamentals relevant to embedded or distributed systems. * Experience with robotics frameworks (e.g., ROS), embedded Linux platforms, or common sensors (e.g., cameras, lidar, radar, IMUs) is a plus. * Interest or coursework related to safety-critical or high-reliability systems (automotive, aerospace, medical) is beneficial. * Passion for self-driving technology and its potential impact on the world * Intent to return to degree-program after the completion of the internship * Graduating between December 2026 and August 2027 Compensation: * The monthly salary range for this role is $7,300 - $8,600 per month * GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): * Paid US GM Holidays * GM Family First Vehicle Discount Program * Result-based potential for growth within GM * Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations (in priority order): Sunnyvale, California Mountain View, California About The Role: As a Simulation intern, you'll partner with senior engineers to design, build, and launch real simulation features used daily by GM validation teams. You'll meet customers, turn their needs into clear specs, deliver high‑quality code on our common simulation platform, and measure your impact. Customers likely include Hardware/Software in the Loop teams as well as Autonomous Vehicle software and test authors. About The Team: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to generate meaningful insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. What You'll Do: * Quickly ramp up on assigned codebase, product area, and/or system. * Meet with your customers to learn about what they do and how you will help. * Complete assigned tasks efficiently with few iterations. * Develop, test, and deploy production-ready code across components of our simulation infrastructure. * Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases * Participate in code reviews, technical discussions, and design resign. * Collaborate with cross-functional teams to ensure seamless software integration * Communicate effectively across multiple stakeholders. * Draw in senior developers to help when needed. Required Qualifications: * Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a bachelor's degree in computer science or a related field. * Experience coding in Python or C++. * Able to work fulltime, 40 hours per week. Preferred Qualifications: * Demonstrated software engineering experience from previous internships, work experience, coding competitions, or publications. * Intent to return to degree-program after the completion of the internship/co-op. * A background in robotics, ROS, or the AV/ADAS industry. * Experience with data pipelines/workflows supporting data scientists. * Experience building high quality dev productivity tools. * Experience developing high-quality software under significant latency and performance constraints. * Experience developing or working with safety-critical code. * Intent to return to degree-program after the completion of the internship. Compensation: * The monthly salary range for this role is $8,600 per month * GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): * Paid US GM Holidays * GM Family First Vehicle Discount Program * Result-based potential for growth within GM * Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stiped if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations: Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan About the Role: As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You'll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. What You'll Do: * Develop, test, and deploy production-ready code across components of vehicle platform software. * Quickly ramp up on assigned codebase, product area, and/or system. * Complete assigned tasks efficiently with few iterations. * Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases * Participate in code reviews, technical discussions, and design resign. * Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration. * Communicate effectively across multiple stakeholders. Required Qualifications: * Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's degree in computer science or a related field. * Experience with modern object-oriented programming languages (e.g., Java, C++, Python) preferably in a production or applied project environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Previous experience with software development through internships, class projects, personal projects, or coding competitions. * Experience developing and testing software through internships, coursework, or personal projects. * Familiarity with Linux/POSIX environments and exposure to embedded systems or robotics projects. * Understanding of networking fundamentals relevant to embedded or distributed systems. * Experience with robotics frameworks (e.g., ROS), embedded Linux platforms, or common sensors (e.g., cameras, lidar, radar, IMUs) is a plus. * Interest or coursework related to safety-critical or high-reliability systems (automotive, aerospace, medical) is beneficial. * Passion for self-driving technology and its potential impact on the world * Intent to return to degree-program after the completion of the internship * Graduating between December 2026 and August 2027 Compensation: * The monthly salary range for this role is $7,300 - $8,600 per month * GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): * Paid US GM Holidays * GM Family First Vehicle Discount Program * Result-based potential for growth within GM * Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stiped if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations: Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan About the Role: As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You'll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. What You'll Do: Develop, test, and deploy production-ready code across components of vehicle platform software. Quickly ramp up on assigned codebase, product area, and/or system. Complete assigned tasks efficiently with few iterations. Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases Participate in code reviews, technical discussions, and design resign. Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration. Communicate effectively across multiple stakeholders. Required Qualifications: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's degree in computer science or a related field. Experience with modern object-oriented programming languages (e.g., Java, C++, Python) preferably in a production or applied project environment. Able to work fulltime, 40 hours per week Preferred Qualifications: Previous experience with software development through internships, class projects, personal projects, or coding competitions. Experience developing and testing software through internships, coursework, or personal projects. Familiarity with Linux/POSIX environments and exposure to embedded systems or robotics projects. Understanding of networking fundamentals relevant to embedded or distributed systems. Experience with robotics frameworks (e.g., ROS), embedded Linux platforms, or common sensors (e.g., cameras, lidar, radar, IMUs) is a plus. Interest or coursework related to safety-critical or high-reliability systems (automotive, aerospace, medical) is beneficial. Passion for self-driving technology and its potential impact on the world Intent to return to degree-program after the completion of the internship Graduating between December 2026 and August 2027 Compensation: The monthly salary range for this role is $7,300 - $8,600 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of the relocation stipended if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. This internship may be considered remote for an individual in the Seattle area. Locations: Mountain View, California Sunnyvale, California About the Team Our team, GM's AV (Autonomous Vehicles) organization, collaborates closely with the Operations Team. Our primary function is to develop and implement products that help them efficiently manage our extensive data collection vehicle fleet. This role is well-suited for individuals who have a strong product focus and a consistent drive to meet customer needs. We also incorporate generative AI into both our development tools and the products we create. About The Role: We are looking for an intern with strong engineering fundamentals and who is passionate about enabling effective business operations. As a member of this team, we are looking for someone who cares deeply about the quality of software and products the team owns. The way this engineer will deliver impact may vary depending on the situation but they will be expected to partner effectively with other engineers, take feedback and guidance from more experienced team members, and deliver effective and reliable solutions to tasks at hand. What You'll Do: Develop and maintain software for managing diverse fleets of GM vehicles (R&D and production). Optimize software performance and reliability for real-world deployment Leverage the guidance and experience of more senior engineers on the team to identify engineering pain points and implement solutions that are reliable, scalable, and maintainable. Effectively communicate the status of their work. Follow software engineering best practices within your team. Contribute to the engineering culture on the team. Contribute to real-world services and gain practical experience with Go, Python, Docker, Kubernetes, Linux, GCP, and supporting tools such as Buildkite and OpenTelemetry Required Qualifications: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors degree in Computer Science or a related field. Academic exposure to distributed systems concepts, including scalability, reliability, or fault tolerance. Experience writing Go, Python, or similar languages through coursework, internships, or project work Understanding of Unix/Linux, SSH, and networking fundamentals. Able to work fulltime, 40 hours per week. Preferred Qualifications: Attention to detail, and a desire to improve processes and systems around you. Experience with GCP. Experience with Docker and Kubernetes. Passion for self-driving technology and its potential impact on the world. Intent to return to degree-program after the completion of the internship. Graduating between December 2026 and August 2027. Compensation: The monthly salary range for this role is $7,300 - $8,600 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations (in priority order): Sunnyvale, California Mountain View, California About The Role: As a Simulation intern, you'll partner with senior engineers to design, build, and launch real simulation features used daily by GM validation teams. You'll meet customers, turn their needs into clear specs, deliver high‑quality code on our common simulation platform, and measure your impact. Customers likely include Hardware/Software in the Loop teams as well as Autonomous Vehicle software and test authors. About The Team: The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to generate meaningful insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. What You'll Do: Quickly ramp up on assigned codebase, product area, and/or system. Meet with your customers to learn about what they do and how you will help. Complete assigned tasks efficiently with few iterations. Develop, test, and deploy production-ready code across components of our simulation infrastructure. Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases Participate in code reviews, technical discussions, and design resign. Collaborate with cross-functional teams to ensure seamless software integration Communicate effectively across multiple stakeholders. Draw in senior developers to help when needed. Required Qualifications: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a bachelor's degree in computer science or a related field. Experience coding in Python or C++. Able to work fulltime, 40 hours per week. Preferred Qualifications: Demonstrated software engineering experience from previous internships, work experience, coding competitions, or publications. Intent to return to degree-program after the completion of the internship/co-op. A background in robotics, ROS, or the AV/ADAS industry. Experience with data pipelines/workflows supporting data scientists. Experience building high quality dev productivity tools. Experience developing high-quality software under significant latency and performance constraints. Experience developing or working with safety-critical code. Intent to return to degree-program after the completion of the internship. Compensation: The monthly salary range for this role is $8,600 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) **To help** **facilitate** **administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. **Location** **s** **(in priority order):** Sunnyvale, California Mountain View, California **About The Role:** As a Simulation intern, you'll partner with senior engineers to design, build, and launch real simulation features used daily by GM validation teams. You'll meet customers, turn their needs into clear specs, deliver high‑quality code on our common simulation platform, and measure your impact. Customers likely include Hardware/Software in the Loop teams as well as Autonomous Vehicle software and test authors. **About** **The Team:** The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate development of autonomous vehicles as well as general vehicle software development. Our customers range from AV developers understanding the effects of their code on vehicle behavior, data engineers using our data pipelines to generate meaningful insights for various evaluation needs, to the release team tracking top-line performance metrics on releases. AV Simulation aims to deliver intuitive user experiences for robotics and AI engineers that accelerate GM towards a driverless future. **What** **You'll** **Do:** + Quickly ramp up on assigned codebase, product area, and/or system. + Meet withyour customers to learn about what they do and how you will help. + Complete assigned tasks efficiently with few iterations. + Develop, test, and deploy production-ready code across components of our simulation infrastructure. + Identifyproblem statements, outlineoptimalsolutions, account for tradeoffs and edge cases + Participate in code reviews, technical discussions, and design resign. + Collaborate with cross-functional teams to ensure seamless software integration + Communicate effectively across multiple stakeholders. + Draw in senior developers to help when needed. **Required** **Qualifications:** + Currently enrolled in a full-time, degree-seeking program andin the process of obtaininga bachelor's degree in computer science or a related field. + Experience coding in Pythonor C++. + Able to workfulltime,40 hoursper week. **Preferred Qualifications:** + Demonstrated software engineering experience frompreviousinternships, work experience, coding competitions, or publications. + Intent to return to degree-program after the completion of the internship/co-op. + Abackgroundin robotics, ROS, or the AV/ADAS industry. + Experience with data pipelines/workflows supporting data scientists. + Experience building high quality dev productivity tools. + Experience developing high-quality software under significant latency and performance constraints. + Experience developing or working with safety-critical code. + Intent to return todegree-programafter the completion of the internship. **Compensation:** + The monthly salary range for this role is $8,600 per month + GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. **What** **you'll** **get from us (Ben** **e** **fits):** + Paid US GM Holidays + GM Family First Vehicle Discount Program + Result-based potential for growth within GM + Intern events to network with company leaders and peers **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) **To help** **facilitate** **administration of** **the** **relocation** **stiped** **if you are selected, please apply using the permanent address you would move from.** **Work Arrangement:** Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. **Location** **s** **:** Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan **About the** **R** **ole:** As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You'll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. **What** **You'll** **Do:** + Develop, test,anddeployproduction-ready codeacross components of vehicle platform software. + Quickly rampuponassignedcodebase, product area, and/or system. + Complete assigned tasks efficiently with few iterations. + Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases + Participate in code reviews, technical discussions, and design resign. + Collaboratewith cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration. + Communicate effectively across multiple stakeholders. **Required Qualifications:** + Currently enrolledin a full-time, degree-seeking program andin the process of obtaininga Bachelor's degree in computer science or a related field. + Experience with modern object-oriented programming languages (e.g., Java, C++, Python) preferably in a production or applied project environment. + Able to work fulltime,40 hoursper week **Preferred Qualifications:** + Previousexperience with software development through internships, class projects, personal projects, or coding competitions. + Experience developing and testing software through internships, coursework, or personal projects. + Familiarity with Linux/POSIX environments and exposure to embedded systems or robotics projects. + Understanding ofnetworking fundamentals relevant to embedded or distributed systems. + Experience with robotics frameworks (e.g., ROS), embedded Linux platforms, or common sensors (e.g., cameras, lidar, radar, IMUs) is a plus. + Interest or coursework related to safety-critical or high-reliability systems (automotive, aerospace, medical) is beneficial. + Passion for self-driving technology and its potential impact on the world + Intent to return to degree-program after the completion of the internship + Graduating between December 2026 and August2027 **Compensation:** + The monthly salary range for this role is$7,300- $8,600per month + GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. **What y** **ou'** **ll get from us (Benefits):** + Paid US GM Holidays + GM Family First Vehicle Discount Program + Result-based potential for growth within GM + Intern events to network with company leaders and peers **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

What to Expect Consider before submitting an application: This position is expected to start around January 2026 and continue through the Winter/Spring term (approximately April 2026) or into Summer 2026 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year. to experience life at Tesla by giving them ownership over projects that are critical to their team's success. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to extract the maximum performance out of our hardware. The inference stack development is purpose-driven: deployment and analysis of production models inform the team's direction, and the team's work immediately impacts performance and the ability to deploy more and more complex models. With a cutting-edge co-designed MLIR compiler and runtime architecture, and full control of the hardware, the compiler has access to traditionally unavailable features, that can be leveraged via novel compilation approaches to generate higher performance models. What You'll Do * Take ownership of parts of AI Inference stack (Export/Compiler/Runtime) (flexible, based on skills/interests/needs) * Closely collaborate with AI team to guide them on the design and the development of Neural Networks into production * Collaborate with HW team to understand current HW architecture and propose future improvements * Develop algorithms to improve performance and reduce compiler overhead * Debug functional and performance issues on massively-parallel systems * Work on architecture-specific neural network optimization algorithms for high performance computing What You'll Bring * Pursuing a degree in Computer Science, Computer Engineering, or relevant field of study with a graduation date between April 2026 -May 2027 * Strong C++ programming skills and familiarity with Python * Solid understanding of machine learning concepts and fundamentals * Capable of delivering results with minimal oversight * Experience with quantization, MLIR, CUDA, and LLMs is a huge plus Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: * Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction * Family-building, fertility, adoption and surrogacy benefits * Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution * Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA * Healthcare and Dependent Care Flexible Spending Accounts (FSA) * 401(k), Employee Stock Purchase Plans, and other financial benefits * Company Paid Basic Life, AD&D, and short-term disability insurance * Employee Assistance Program * Sick and Vacation time (Flex time for salary positions), and Paid Holidays * Back-up childcare and parenting support resources * Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance * Commuter benefits * Employee discounts and perks program Expected Compensation $100000.00 - $150000.00 + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws. Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ************* for additional information or to request accommodations. Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice . Internship, Software Compiler Engineer, AI Inference (Winter/Spring 2026) Tesla participates in the E-Verify Program