Internship jobs at PACCAR - 166 jobs

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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Scaling Foundations team is dedicated to building the ML technologies and cutting edge ML algorithms that enable us to go up the scaling curves for large driving models for building highly performant autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As an AI/ML Engineering Intern on the Model Scaling Foundations team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, access to very large datasets of autonomous driving, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. What You'll Do: * Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning. * Prototype ML models that improve perception, prediction, or decision-making for autonomous driving. * Work with very large datasets containing diverse road driving conditions and driving behaviors and build our large driving models with these datasets. * Collaborate with cross-functional teams, including perception, robotics, and systems engineering. * Participate in technical discussions, share insights, and work towards publishing results. 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, especially deep learning architectures (e.g., transformers, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Experience working with large datasets, running parallel * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Compensation: * The monthly salary for this role is $13,100 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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Sensor Encoder team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on encoders for camera, lidar and radar. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to sensor data processing. About the Role: As an intern on the sensor encoder team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. What You'll Do: * Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, self-supervised learning. * Prototype ML models that improve perception, prediction, or decision-making for autonomous driving. * Collaborate with cross-functional teams, including research, robotics, and systems engineering. * Participate in technical discussions, share insights, and work towards publishing results. 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, especially deep learning architectures (e.g., transformers, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Graduating between December 2026 and June 2027. Compensation: * The monthly salary range for this role is $13,100 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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing vision-language-action architectures to solve critical challenges in data mining and end-to-end autonomous driving. This role offers a unique opportunity to work on real-world AI/ML systems at scale, collaborating with and receiving mentorship from world-class researchers to shape the future of grounded foundation models in the autonomous vehicle industry. What You'll Do: * Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control. * Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning. * Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios. * Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments. * Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications. 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, especially deep learning architectures (e.g., transformers, LLMs, VLMs, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Compensation: * The monthly salary range for this role is $13,100 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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Sensor Encoder team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on encoders for camera, lidar and radar. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to sensor data processing. About the Role: As an intern on the sensor encoder team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. What You'll Do: * Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, self-supervised learning. * Prototype ML models that improve perception, prediction, or decision-making for autonomous driving. * Collaborate with cross-functional teams, including research, robotics, and systems engineering. * Participate in technical discussions, share insights, and work towards publishing results. 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, especially deep learning architectures (e.g., transformers, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Graduating between December 2026 and June 2027. Compensation: * The monthly salary range for this role is $13,100 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:** San Francisco, California Sunnyvale, California Mountain View, California **About the Team:** The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. **About the Role:** As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing vision-language-action architectures to solve critical challenges in data mining and end-to-end autonomous driving. This role offers a unique opportunity to work on real-world AI/ML systems at scale, collaborating with and receiving mentorship from world-class researchers to shape the future of grounded foundation models in the autonomous vehicle industry. **What You'll Do:** + Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control. + Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning. + Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios. + Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments. + Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications. **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, especially deep learning architectures (e.g., transformers, LLMs, VLMs, generative models, multimodal learning). + Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. + Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. + Strong problem-solving skills and a collaborative mindset. + Strong communication and presentation skills. + Experience working and communicating cross functionally in a team environment. + Able to work fulltime, 40 hours per week **Preferred Qualifications:** + Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). + Experience working with large-scale datasets and training ML models in high-performance computing environments. + Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks. + Intent to return to degree program after the completion of the internship/co-op + Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. + Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches + Experience building systems based on machine learning, reinforcement learning and/or deep learning methods **Compensation:** + The monthly salary range for this role is $13,100 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.

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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Scaling Foundations team is dedicated to building the ML technologies and cutting edge ML algorithms that enable us to go up the scaling curves for large driving models for building highly performant autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As an AI/ML Engineering Intern on the Model Scaling Foundations team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, access to very large datasets of autonomous driving, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. What You'll Do: * Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning. * Prototype ML models that improve perception, prediction, or decision-making for autonomous driving. * Work with very large datasets containing diverse road driving conditions and driving behaviors and build our large driving models with these datasets. * Collaborate with cross-functional teams, including perception, robotics, and systems engineering. * Participate in technical discussions, share insights, and work towards publishing results. 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, especially deep learning architectures (e.g., transformers, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Experience working with large datasets, running parallel * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Compensation: * The monthly salary for this role is $13,100 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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing vision-language-action architectures to solve critical challenges in data mining and end-to-end autonomous driving. This role offers a unique opportunity to work on real-world AI/ML systems at scale, collaborating with and receiving mentorship from world-class researchers to shape the future of grounded foundation models in the autonomous vehicle industry. What You'll Do: * Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control. * Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning. * Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios. * Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments. * Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications. 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, especially deep learning architectures (e.g., transformers, LLMs, VLMs, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Compensation: * The monthly salary range for this role is $13,100 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:** San Francisco, California Sunnyvale, California Mountain View, California **About the Team:** The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. **About the Role:** As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing vision-language-action architectures to solve critical challenges in data mining and end-to-end autonomous driving. This role offers a unique opportunity to work on real-world AI/ML systems at scale, collaborating with and receiving mentorship from world-class researchers to shape the future of grounded foundation models in the autonomous vehicle industry. **What You'll Do:** + Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control. + Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning. + Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios. + Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments. + Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications. **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, especially deep learning architectures (e.g., transformers, LLMs, VLMs, generative models, multimodal learning). + Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. + Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. + Strong problem-solving skills and a collaborative mindset. + Strong communication and presentation skills. + Experience working and communicating cross functionally in a team environment. + Able to work fulltime, 40 hours per week **Preferred Qualifications:** + Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). + Experience working with large-scale datasets and training ML models in high-performance computing environments. + Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks. + Intent to return to degree program after the completion of the internship/co-op + Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. + Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches + Experience building systems based on machine learning, reinforcement learning and/or deep learning methods **Compensation:** + The monthly salary range for this role is $13,100 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.

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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Sensor Encoder team is dedicated to advancing the state-of-the-art in AI for autonomous vehicles, with a specific focus on encoders for camera, lidar and radar. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning related to sensor data processing. About the Role: As an intern on the sensor encoder team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. What You'll Do: Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, self-supervised learning. Prototype ML models that improve perception, prediction, or decision-making for autonomous driving. Collaborate with cross-functional teams, including research, robotics, and systems engineering. Participate in technical discussions, share insights, and work towards publishing results. 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, especially deep learning architectures (e.g., transformers, generative models, multimodal learning). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. Strong problem-solving skills and a collaborative mindset. Strong communication and presentation skills. Experience working and communicating cross functionally in a team environment. Able to work fulltime, 40 hours per week Preferred Qualifications: Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). Experience working with large-scale datasets and training ML models in high-performance computing environments. Intent to return to degree program after the completion of the internship/co-op Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches Graduating between December 2026 and June 2027. Compensation: The monthly salary range for this role is $13,100 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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The AI Research organization is dedicated to advancing the state-of-the-art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As a VLM/VLA Research Intern on the AI Research team, you will operate at the frontier of Embodied AI, developing foundational models that bridge the gap between high-level reasoning and physical execution. Your work will focus on advancing vision-language-action architectures to solve critical challenges in data mining and end-to-end autonomous driving. This role offers a unique opportunity to work on real-world AI/ML systems at scale, collaborating with and receiving mentorship from world-class researchers to shape the future of grounded foundation models in the autonomous vehicle industry. What You'll Do: Drive the development of embodied foundation models and vision-language-action architectures that unify multimodal perception with robotic control. Prototype and refine ML models that leverage VLA architectures to improve decision-making and reasoning for autonomous vehicles through imitation and reinforcement learning. Utilize vision-language models and generative techniques (such as world models) to improve the model's understanding of complex driving scenarios. Partner with perception, robotics, and systems engineering teams to integrate VLA research into the broader autonomous stack and validate models in closed-loop environments. Engage in high-level technical brainstorming, share insights across the AI Research org, and contribute to the academic community through top-tier conference publications. 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, especially deep learning architectures (e.g., transformers, LLMs, VLMs, generative models, multimodal learning). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. Strong problem-solving skills and a collaborative mindset. Strong communication and presentation skills. Experience working and communicating cross functionally in a team environment. Able to work fulltime, 40 hours per week Preferred Qualifications: Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). Experience working with large-scale datasets and training ML models in high-performance computing environments. Experience adapting foundation models (VLM/VLAs, diffusion, instruction-following agents) for embodied control tasks. Intent to return to degree program after the completion of the internship/co-op Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Compensation: The monthly salary range for this role is $13,100 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: San Francisco, California Sunnyvale, California Mountain View, California About the Team: The Scaling Foundations team is dedicated to building the ML technologies and cutting edge ML algorithms that enable us to go up the scaling curves for large driving models for building highly performant autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role: As an AI/ML Engineering Intern on the Model Scaling Foundations team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, access to very large datasets of autonomous driving, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. What You'll Do: * Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning. * Prototype ML models that improve perception, prediction, or decision-making for autonomous driving. * Work with very large datasets containing diverse road driving conditions and driving behaviors and build our large driving models with these datasets. * Collaborate with cross-functional teams, including perception, robotics, and systems engineering. * Participate in technical discussions, share insights, and work towards publishing results. 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, especially deep learning architectures (e.g., transformers, generative models, multimodal learning). * Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. * Research experience in AI/ML, demonstrated through coursework, academic projects, or publications. * Experience working with large datasets, running parallel * Strong problem-solving skills and a collaborative mindset. * Strong communication and presentation skills. * Experience working and communicating cross functionally in a team environment. * Able to work fulltime, 40 hours per week Preferred Qualifications: * Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS). * Experience working with large-scale datasets and training ML models in high-performance computing environments. * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar. * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Compensation: * The monthly salary for this role is $13,100 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.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2026 through Spring 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Cybersecurity Risk and Analysis Cybersecurity Engineering Cybersecurity Automation Qualifications Must be currently pursuing a Bachelors or Masters degree at an accredited university Actively pursuing a degree or one closely related in computer science or similar. Understanding of software engineering concepts and theory. Direct exposure to 1 or more programming and scripting languages (e.g., Python, Node, Go, Java, C++, Bash, PowerShell). Knowledge of networking fundamentals (TCP/IP, OSI model). Fundamental Cybersecurity knowledge and Technical Skills such as Cloud Security, Application Security, or Network Security. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is $25.00-$51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a Bachelors or Masters degree at an accredited university Actively pursuing a degree or one closely related in computer science or similar. Understanding of software engineering concepts and theory. Direct exposure to 1 or more programming and scripting languages (e.g., Python, Node, Go, Java, C++, Bash, PowerShell). Knowledge of networking fundamentals (TCP/IP, OSI model). Fundamental Cybersecurity knowledge and Technical Skills such as Cloud Security, Application Security, or Network Security. Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Cybersecurity Risk and Analysis Cybersecurity Engineering Cybersecurity Automation

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services - you can develop the career you desire with PACCAR. Get started! Kenworth Truck Company Kenworth Truck Company is the manufacturer of The World's Best heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company's dedication to the green fleet includes aerodynamic trucks, compressed and liquefied natural gas trucks, and medium duty diesel-electric hybrids. Summary The primary role of the Facilities Engineering Intern is to support and implement equipment for buildings and facilities. The Facilities Engineer Intern will assist in the maintenance and improvement of the manufacturing plant, out-buildings, and grounds. The Facilities Engineering Intern must have project management skills and familiarity with construction practices. JOB RESPONSIBILITIES Assist with repairs to mechanical, electrical, and plumbing systems, carpentry and general trades. Assist staff facilities engineers with projects. Provide contractor safety observations and documentation. Update CAD files as required. Communicate efficiently with Contractors, Suppliers, OEM providers as well as internal equipment owners and operators for a successful operation of the facility. Ensure a safe work environment is maintained through adherence and compliance with safety guidelines, policies, and site procedures. Maintain a positive, professional, and customer-oriented attitude. All other duties as assigned. MINIMUM QUALIFICATIONS: Pursuing a Bachelor Degree in Electrical, Mechanical, Civil or Manufacturing Engineering KNOWLEDGE, SKILLS & ABILITIES: Ability read and understand P&IDs, equipment manuals, specifications, SOPs Must be able to use project management software such as Microsoft Project. Proficient with MS Office products. Strong written and verbal communications skills be self-motivated and possess interpersonal skills. Ability to learn quickly and work effectively with little supervision when needed. Desire to work in a fast-paced manufacturing facility. Physical Requirements Must meet physical requirements of the position with or without accommodations. Additional Job Board Information If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site. PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.

The Military DoD SkillBridge program is an opportunity for Service members to gain valuable civilian work experience through specific industry training, apprenticeships, or internships during the last 180 days of service. SkillBridge connects Service members with industry partners in real-world job experiences under Dept. of Defense Instruction 1322.29. Separating Service members can be granted up to 180 days of permissive duty to focus solely on training full-time with approved industry partners after unit commander (first O-4/Field Grade commander in chain of command) provides written authorization and approval. GE Aviation as a Skill Bridge partner offers real-world training and work experience in in-demand fields of work while having the opportunity to evaluate the Service member's suitability for the work. Military DoD SkillBridge participants are not eligible for compensation from GE Aviation, as they continue to receive military compensation and benefits as active-duty service members. **Job Description** **This is a Q1 (Jan - March) 2026 posting for starting your SkillBridge internship. Your Internship may last longer than the Quarter depending on your command. Please apply within 4 months of your anticipated program start date.** **Essential Functions:** Candidates for this internship may support any of GE Aviation's business units. Examples include: + Engineering + Supply Chain + Sales and Marketing + Avionics + Business, General Aviation and Integrated Systems + Commercial Engines + Digital + Finance Individuals selected for this internship will have the responsibility and authority to carry out all assigned tasks **Qualifications / Requirements:** + Active Military personnel **Desired Skills / Experience:** + Proficient in the use of a personal computer to navigate Online documents, drawings, and instructions. + Prior experience working in a team-oriented environment _This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** No \#LI-Remote - This is a remote position GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. Corp Support Intern The Corp Support Intern is responsible for implementing operational Installation, Services, Changes at the Campus, Offices and remote Copart yards. These changes include, but are not limited to operational growth, Windows imaging, Android and IOS imaging, decommission, inventory tracking and hardware deployment. This position also shares in the responsibilities of the day-to-day support for all Copart corporate support. * Imaging Windows Systems * Imaging Android and IOS mobile devices * Track, update and resolve tickets in the Helpdesk Ticketing system. * Document and update all equipment, printers, PC, UPS. * Manage inventory and documentation for all equipment in the Campus and the Field. * Install and support all IT devices used at the Campus, offices and Yard and includes: PC's, Mobility devices and Infrastructure components. * Provide assistance on IT projects as directed, including but not limited to research, configuration, and deployment. * Coordinate operational yard and Campus changes, adds, moves, integrations, to meet business needs. * Create and compile documents to update projects in Copart's SharePoint site. * Coordinate with Copart's desktop support teams on purchasing, configuring and shipping all PC equipment to the project yard or corporate sites. * Procure and configure all network and desktop equipment for the yards and campus. * Coordinate with the yards site contact on the arrival of the IT equipment and Copart team to site. * Review inventory of the IT equipment with the site contact at the project yard or site. * Assist with the installation of the network and PC equipment any projects at the yards, Campus or remote sites. * Conduct tests on all PC equipment, ET2000, PCs, printer overrides to verify connectivity to the network. * Finalize all the job scope tasks before project yard or site's opening day * Deploy CAT trailer equipment as directed by Copart IT & Operations Department. * Must be self-motivated, able to work independently and possess/demonstrate good judgment in stressful situations. * Familiar with ticket-based support * Individual must have excellent attention to detail and organizational skills. * Familiar with network and PC equipment: physical installations i.e. set up of PCs, printers, and mobile devices. * Individual must be able to work with Microsoft Word, Microsoft Excel and to complete basic tasks. * Must possess excellent communication and customer services skills in order to work with vendors and Copart employees. * Individual must be able to lift 50 pound items repeatedly * Must have an understanding of Windows systems. Preferred Skills: * Possess excellent project management skills. * Possess a high degree of understanding and knowledge of PC systems (Windows), Office applications and basic networking. * Education: * May require an associate degree or its equivalent and at least 5 years' experience in the field or in related area #LS-MS1 At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully. E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: * E-verify Participation * Right to Work

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. Corp Support Intern The Corp Support Intern is responsible for implementing operational Installation, Services, Changes at the Campus, Offices and remote Copart yards. These changes include, but are not limited to operational growth, Windows imaging, Android and IOS imaging, decommission, inventory tracking and hardware deployment. This position also shares in the responsibilities of the day-to-day support for all Copart corporate support. • Imaging Windows Systems • Imaging Android and IOS mobile devices • Track, update and resolve tickets in the Helpdesk Ticketing system. • Document and update all equipment, printers, PC, UPS. • Manage inventory and documentation for all equipment in the Campus and the Field. • Install and support all IT devices used at the Campus, offices and Yard and includes: PC's, Mobility devices and Infrastructure components. • Provide assistance on IT projects as directed, including but not limited to research, configuration, and deployment. • Coordinate operational yard and Campus changes, adds, moves, integrations, to meet business needs. • Create and compile documents to update projects in Copart's SharePoint site. • Coordinate with Copart's desktop support teams on purchasing, configuring and shipping all PC equipment to the project yard or corporate sites. • Procure and configure all network and desktop equipment for the yards and campus. • Coordinate with the yards site contact on the arrival of the IT equipment and Copart team to site. • Review inventory of the IT equipment with the site contact at the project yard or site. • Assist with the installation of the network and PC equipment any projects at the yards, Campus or remote sites. • Conduct tests on all PC equipment, ET2000, PCs, printer overrides to verify connectivity to the network. • Finalize all the job scope tasks before project yard or site's opening day • Deploy CAT trailer equipment as directed by Copart IT & Operations Department. • Must be self-motivated, able to work independently and possess/demonstrate good judgment in stressful situations. • Familiar with ticket-based support • Individual must have excellent attention to detail and organizational skills. • Familiar with network and PC equipment: physical installations i.e. set up of PCs, printers, and mobile devices. • Individual must be able to work with Microsoft Word, Microsoft Excel and to complete basic tasks. • Must possess excellent communication and customer services skills in order to work with vendors and Copart employees. • Individual must be able to lift 50 pound items repeatedly • Must have an understanding of Windows systems. Preferred Skills: • Possess excellent project management skills. • Possess a high degree of understanding and knowledge of PC systems (Windows), Office applications and basic networking. • Education: • May require an associate degree or its equivalent and at least 5 years' experience in the field or in related area #LS-MS1 At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully. E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-verify Participation Right to Work

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology. The Corp Support Intern is responsible for implementing operational Installation, Services, Changes at the Campus, Offices and remote Copart yards. These changes include, but are not limited to operational growth, Windows imaging, Android and IOS imaging, decommission, inventory tracking and hardware deployment. This position also shares in the responsibilities of the day-to-day support for all Copart corporate support. * Imaging Windows Systems * Imaging Android and IOS mobile devices * Track, update and resolve tickets in the Helpdesk Ticketing system. * Document and update all equipment, printers, PC, UPS. * Manage inventory and documentation for all equipment in the Campus and the Field. * Install and support all IT devices used at the Campus, offices and Yard and includes: PC's, Mobility devices and Infrastructure components. * Provide assistance on IT projects as directed, including but not limited to research, configuration, and deployment. * Coordinate operational yard and Campus changes, adds, moves, integrations, to meet business needs. * Create and compile documents to update projects in Copart's SharePoint site. * Coordinate with Copart's desktop support teams on purchasing, configuring and shipping all PC equipment to the project yard or corporate sites. * Procure and configure all network and desktop equipment for the yards and campus. * Coordinate with the yards site contact on the arrival of the IT equipment and Copart team to site. * Review inventory of the IT equipment with the site contact at the project yard or site. * Assist with the installation of the network and PC equipment any projects at the yards, Campus or remote sites. * Conduct tests on all PC equipment, ET2000, PCs, printer overrides to verify connectivity to the network. * Finalize all the job scope tasks before project yard or site's opening day * Deploy CAT trailer equipment as directed by Copart IT & Operations Department. * Must be self-motivated, able to work independently and possess/demonstrate good judgment in stressful situations. * Familiar with ticket-based support * Individual must have excellent attention to detail and organizational skills. * Familiar with network and PC equipment: physical installations i.e. set up of PCs, printers, and mobile devices. * Individual must be able to work with Microsoft Word, Microsoft Excel and to complete basic tasks. * Must possess excellent communication and customer services skills in order to work with vendors and Copart employees. * Individual must be able to lift 50 pound items repeatedly * Must have an understanding of Windows systems. Preferred Skills: * Possess excellent project management skills. * Possess a high degree of understanding and knowledge of PC systems (Windows), Office applications and basic networking. * Education: * May require an associate degree or its equivalent and at least 5 years' experience in the field or in related area #L1-MS1 At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully. E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: * E-verify Participation * Right to Work

The Military DoD SkillBridge program is an opportunity for Service members to gain valuable civilian work experience through specific industry training, apprenticeships, or internships during the last 180 days of service. SkillBridge connects Service members with industry partners in real-world job experiences under Dept. of Defense Instruction 1322.29. Separating Service members can be granted up to 180 days of permissive duty to focus solely on training full-time with approved industry partners after unit commander (first O-4/Field Grade commander in chain of command) provides written authorization and approval. GE Aerospace as a SkillBridge partner offers real-world training and work experience in in-demand fields of work while having the opportunity to evaluate the Service member's suitability for the work. Military DoD SkillBridge participants are not eligible for compensation from GE Aerospace, as they continue to receive military compensation and benefits as active-duty service members. **Job Description** GE Aerospace is a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative team. It means that if you have ideas, we will listen. You will be able to be a part of our LEAN transformation so that you can work smarter and not harder. Here, you will do work that you will be proud of. Work that really matters! As a Senior Manufacturing Manager at our Madisonville, Kentucky site, you will lead team of manufacturing engineers and process technicians within an assigned business organization to drive continuous improvement and meet or exceed operational performance metrics. Individuals selected for this internship will have the responsibility and authority to carry out all assigned tasks This internship is for Active Military Personnel only **Roles and Responsibilities** + Define and control production process including tooling and equipment. Validate design specifications and shop floor application of new product, tools, or equipment + Contribute towards strategy and policy development and ensure delivery within area of responsibility + Use judgment to make decisions or solve moderately complex tasks or problems in areas of operational/product management, manufacturing, technology or engineering + Take a new perspective on existing solutions + Use technical experience and expertise for data analysis to support recommendations + Act as a resource for colleagues with less experience + Explain difficult or sensitive information; works to build consensus + Develop persuasion skills required to influence others on topics within field **Required Qualifications** + Active Military personnel + Bachelor's Degree from an accredited college or university + Minimum of 5 years of experience in Manufacturing Engineering (or equivalent Military experience) **Desired Characteristics** + Humble: respectful, receptive, agile, eager to learn + Transparent: shares critical information, speaks with candor, contributes constructively + Focused: quick learner, strategically prioritizes work, committed + Leadership ability: strong communicator, decision-maker, collaborative + Problem solver: analytical-minded, challenges existing processes, critical thinker + Lean and/or Six-Sigma experience + Experience analyzing and resolving problems + Experience leading projects + Experience documenting, planning, marketing, and executing programs + Project management experience _This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** No GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

SummaryThe Military DoD SkillBridge program is an opportunity for Service members to gain valuable civilian work experience through specific industry training, apprenticeships, or internships during the last 180 days of service. SkillBridge connects Service members with industry partners in real-world job experiences under Dept. of Defense Instruction 1322.29. Separating Service members can be granted up to 180 days of permissive duty to focus solely on training full-time with approved industry partners after unit commander (first O-4/Field Grade commander in chain of command) provides written authorization and approval. GE Aerospace as a SkillBridge partner offers real-world training and work experience in in-demand fields of work while having the opportunity to evaluate the Service member's suitability for the work. Military DoD SkillBridge participants are not eligible for compensation from GE Aerospace, as they continue to receive military compensation and benefits as active-duty service members.Job Description GE Aerospace is a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative team. It means that if you have ideas, we will listen. You will be able to be a part of our LEAN transformation so that you can work smarter and not harder. Here, you will do work that you will be proud of. Work that really matters! As a Senior Manufacturing Manager at our Madisonville, Kentucky site, you will lead team of manufacturing engineers and process technicians within an assigned business organization to drive continuous improvement and meet or exceed operational performance metrics. Individuals selected for this internship will have the responsibility and authority to carry out all assigned tasks This internship is for Active Military Personnel only Roles and Responsibilities Define and control production process including tooling and equipment. Validate design specifications and shop floor application of new product, tools, or equipment Contribute towards strategy and policy development and ensure delivery within area of responsibility Use judgment to make decisions or solve moderately complex tasks or problems in areas of operational/product management, manufacturing, technology or engineering Take a new perspective on existing solutions Use technical experience and expertise for data analysis to support recommendations Act as a resource for colleagues with less experience Explain difficult or sensitive information; works to build consensus Develop persuasion skills required to influence others on topics within field Required Qualifications Active Military personnel Bachelor's Degree from an accredited college or university Minimum of 5 years of experience in Manufacturing Engineering (or equivalent Military experience) Desired Characteristics Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Lean and/or Six-Sigma experience Experience analyzing and resolving problems Experience leading projects Experience documenting, planning, marketing, and executing programs Project management experience This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No