Internship jobs at Park Ave Motor Corp - 95 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 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 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 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 (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) **To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** **Work Arrangement:** Onsite: This role is categorized as onsite. This means the successful candidate is expected to report to Pasadena, CA or Warren, MI on a full-time basis. Each successful candidate will be offered an onsite role at a specific location. Candidate location preferences are considered but cannot be guaranteed. **The Role:** Expose qualified candidates to creative careers at General Motors and identify talent for direct positions in creative clay sculpting at Design. The individual will gain an understanding of the aesthetic judgments, technology, production methods, program timelines and materials used in automotive clay sculpting. **Please note, you must submit a Portfolio to be considered for this position - See Instructions Below.** **Primary Responsibilities:** Work collaboratively with Design, Sculpting and Engineering to interpret sketches and develop clay scale models of a future automotive theme using established and emerging clay sculpting best practices and techniques. Present finished models to Design and Sculpting Leadership at midterm and final show events. Support general sculpting assignments within studio environment. **Required Qualifications:** + Pursuit of a Bachelor's degree or Advanced degree in one of the following areas: Industrial Design, Transportation Design, Fine Arts, Sculpture or Ceramics + Must be graduating December 2026 - May 2028 + Able to work full-time, 40 hours per week **What Will Give You a Competitive Edge (Preferred Qualifications):** + Demonstrates creative ability with supporting 3D portfolio + Basic understanding of design and sculpting principals including proportion, line and surface + Proficient interpersonal skills to work effectively in a collaborative team environment + Proactive regarding task completion + Follows studio safety guidelines + Knowledge of current design trends **Start Dates** Intern: Start Dates for this internship role are May & June of 2026. **Compensation: ** + The salary for this role is 5,300. + 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 **PORTFOLIO SUBMISSION INSTRUCTIONS: ** We strongly encourage you to include a link to your online portfolio in the "website" section of your application or directly on your resume. This allows us to easily access larger files and view your work in its intended format. If your portfolio is not available online, please follow the instructions below to upload it as a separate attachment, similar to how you submitted your resume. **Please NO dropbox files or Google docs. ** 1. Save your portfolio as a pdf document 2. Name your portfolio your LAST NAME, FIRST NAME. Example: Candidate name is John Smith. Portfolio pdf file name is: Smith, John.pdf 3. Upload as an attachment - you may have to condense the file. **DISCLAIMER:** The Works included in your Career Portfolio must not be subject to any non-disclosure and/or confidentiality agreement. If the Works in your Career Portfolio are owned by your current or former employer, or by any other Third Party, there must be an express written consent from the Owner allowing the Works to be included in your Career Portfolio for sharing with General Motors ("GM"). By sharing your Career Portfolio, you grant to GM the right to quote, paraphrase, reproduce, distribute, or otherwise use all or any portion of the Career Portfolio for purposes of making a hiring determination. By sharing your Career Portfolio, you also agree to release and discharge GM, and its licensees, successors, and assigns, from any and all claims, demands, or causes of action that you may have regarding any use of the Career Portfolio, including (but not limited to) any claims based on the right to privacy, the right to publicity, copyright, libel, defamation, or any other right. **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.

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

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. 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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 Cox Automotive - USA Job Family Group Business Operations Job Profile Intern - Technical Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Hourly base pay rate is $24.23 - $36.35/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program. Job Description There's something really inspiring about the idea of innovators teaming up to build something incredible. If you agree, then you might be a perfect fit for a tech job at Cox! Across the Cox family of businesses (Cox Enterprises, Cox Communications and Cox Automotive), we're looking for Cybersecurity Interns to join our team and learn from the best. Ready to collaborate with us and work at a great company that truly cares about you and your future? Keep reading! What's In It For You? * We value your time and potential. At Cox, you'll be exposed to meaningful and challenging work. * You won't be left alone to figure things out. You'll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on. * You'll experience real accountability to develop your professional skills. * You'll expand your network and professional toolbox through exposure to senior leaders. * You'll help us build a bold future that is sustainable, accessible and inclusive. Cybersecurity interns at Cox Enterprises are an integral part of the Cyber team and are provided projects and tasks that leverage knowledge gained from their academic studies, as well as challenge and build their interpersonal skills to prepare them for the working world post-graduation. Cybersecurity exists to protect our business' critical information and technology assets from compromise and disruption so that our stakeholders and businesses can deliver on their responsibilities and ultimately continue to be profitable. We operate at all levels, from front line to senior executives, and manage a wide variety of projects across our portfolio. Many of the assets we protect are shared across divisions, requiring an understanding of the way we make money, as well as a servant leader mindset to build and maintain trust and influence decisions. We employ our diverse experiences and fit-for-purpose solutions to monitor and safeguard our assets. Projects / assignments may include, but are not limited to, the following: * Collaborate with business, technical and other relevant stakeholders to understand current areas of security risk, control standards and requirements. * Support Cyber Defense initiatives that include improvements to security operations and supporting solutions, as well as threat detection and response capabilities * Support Cyber Governance, Risk and Compliance ("GRC") programs to improve the way we collect and action on metrics, onboard new supplier relationships securely, and manage data and privacy governance policies and capabilities * Support cloud security team through development and tuning of posture management policies * Integrate with DevOps teams to represent cybersecurity and help keep our code, infrastructure, and apps secure Attributes / skills we seek: Learn and be curious. Think big and dive deep. Be conscientious. Act like an owner. Balance innovation and optimization. Excellent verbal, written, and presentation skills Qualifications: Currently enrolled in a graduate (Masters, PhD, etc.) degree program such as Information Technology (with a concentration in Cybersecurity), Computer Science, Management Information Systems, or other related degree program. Preferred Qualifications: One or more of the following: Exposure to Cyber Scripting experience (Python, Javascript, etc.) Cloud computing experience with platforms such as AWS, Azure or GCP Business / process documentation experience Leadership experience Microsoft PowerPoint and Excel experience Cybersecurity classwork experience is always a plus! Don't miss out on the first steps toward your future. Apply today! Intern/Co-Op sessions are considered temporary employment. No full-time employment commitments are made. However, depending on our business needs, some interns may be considered for a full-time position following the conclusion of the session conditioned upon the intern graduating from their academic program and being available to commence full-time employment at a specified time. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. Drug Testing To be employed in this role, you'll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. About Us Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells - or simply uses - cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.

Subaru of America, Inc.'s Internship Program provides a valuable opportunity for students to gain real-world experience related to their major. Interns have the chance to work on meaningful projects, collaborate with professionals, and develop skills that will be beneficial in their future careers. It's an excellent way to jump-start their career and enhance their skillset, making them more marketable in their field of study. Course of Study Pursing Bachelor's Degree with a major in Film Production, Communications, Multimedia Journalism, Automotive Technology Management, Automotive Studies, Graphic Design, or Instructional Design Term 1 year in length [37.5 hours per week during the summer; ~18-25 hours per week during school year] Internship to begin in May and end the following May Location - Subaru Headquarters in Camden, NJ $20 an hour (undergrad) Qualifications Current Juniors OR Seniors planning to pursue a Master's Degree OR students currently enrolled in a Master's Program Must be an active student for the entire length of internship At least 1 year of work experience Skills Excellent communication and interpersonal skills with the ability to interface with all levels of the organization Able to work in a team environment Strong attention to detail Proficiency in Microsoft Suite (Word, Excel, PowerPoint) Proficiency in Adobe Creative Suite (Photoshop, InDesign, Illustrator) required; Premier Pro preferred Knowledge of photography, photo editing, videography, and video editing preferred Knowledge of eLearning authoring tools (Articulate 360) preferred Responsibilities Assist in the creation and production of all print and digital materials used for Subaru Technical Training. This includes creating and editing training manuals, presentations, infographics, and other visual aids. Work with subject matter experts to develop and refine training materials. Use a variety of graphic design software to create visually appealing and informative materials. Collaborate with other members of the training team to ensure a consistent look and feel for all materials. Assist in planning, shooting, editing, and animating a wide range of training materials for Subaru. Set up, shoot, and tear down camera, video, lighting, and audio equipment as needed for both live and recorded productions both within and outside of our production area. Transfer media and video footage from cameras and other storage media for editing. Work with others to prepare digital media. SUMMARY As a Multimedia Intern for Subaru of America's National Training Center, you'll be part of a fun, hard working environment with yourself focusing on creating a wide variety of training materials that are used to educate Subaru automotive technicians across the United States. Automotive knowledge is helpful but not necessary. Our main requirement is to have a knowledge and passion for the multimedia field and a desire to use these skills to bring our training materials to life including books, pictures, animations, and videos. You will work one on one with our multimedia developer to assist in many aspects of our training development process and be provided space to learn as well as inject new ideas into the department.

Inside the Role Interns will gain knowledge and experience through exciting and real-life learning opportunities. Interns must work in accordance with DTNA's core values of passion, respect, integrity and discipline. Internship positions can be located at various DTNA locations across the US. We are looking for high performing and motivated individuals in various areas within DTNA organizations. DTNA internships begin each summer in May or June. Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability. Elite Support is a collaborative initiative between Daimler Truck North America (DTNA) and its dealer network, designed to elevate the customer experience through a culture of continuous improvement. The program focuses on delivering exceptional service, efficient operations, and consistent best practices across all certified locations. Elite Support relies on strong engagement, rigorous standards, and the ability to evolve through ongoing training, process enhancements, and innovation. The intern for the Elite Support program will focus on continuous improvement initiatives and support process improvement projects that drive long-term impact. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team Salary placement is determined by your anticipated graduation year and ranges between $21 - $29 per hour. Benefits include: Professional development and networking events, including resume reviews/mock interviews Housing and transportation stipend Employee resource groups Event ticket offering (based on corporate availability) Company social events What You Drive at DTNA Collaborate with subject matter experts to design, refine, and organize training materials. Assist in creating presentation decks, learning guides, and digital content for workshops and webinars. Create strategy for engagement of existing network tools. Improve and emphasize a customer-focused culture across the organization. Support the documentation and refinement of core Elite Support processes. Contribute to internal initiatives that improve operational efficiency, communication, and dealer engagement. May support development of training and/or change management materials and activities to support new processes and procedures, including department SmartSheet / Teams Channel. Lead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs. Knowledge You Should Bring Must be currently enrolled in a Bachelor's program or higher from an accredited college/university OR have recently graduated within 1 year of the position start date (May/June) Pursuing a degree in Business, Organizational Development, Training and Development, Communications, or a related field Strong interest in continuous improvement Strong attention to detail Strong oral and written communication skills Solid organizational skills Creative mindset Interpersonal skills and ability to work in a team environment Creative, self-driven, and eager to learn in a collaborative environment Experience with MS Office, Smartsheet, or visual communication tools preferred Experience being a group or project lead preferred Experience or familiarity with Continuous improvement / Lean / Agile / Six Sigma preferred Experience or familiarity with continuous education, learning practices, curriculum development or design preferred Experience or familiarity with tools such as: SmartSheet, Articulate, Training software, Altryx, Tablaeu, or MailChimp preferred #LI-Hybrid #LI-MM1 Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)- Fort Mill, SC US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria. Schedule Type: Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration. At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA's legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future - building a cleaner, safer and more efficient tomorrow for all. That is what we are working toward - for all who keep the world moving. Additional Information This position is not open to Visa sponsorship or to existing Visa holders Applicants must be legally authorized to work permanently in the country the position is located in at the time of application Final candidate must successfully complete a criminal background check Final candidate may be required to successfully complete a pre-employment drug screen Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions EEO - Disabled/Veterans Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status. For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at ************ or toll free ************. For TTY/TDD enabled call ************ or toll free ************.

Aufgaben Shape the future today. The world is changing. The question is, what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title. At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts. Job Overview: Reporting to the Body Shop Manager, the intern provides the best possible support by assisting with all aspects of body shop planning and all systemic functions. Responsibilities: * Lead and implement small projects * Read and interpret drawings * Develop complex excel sheets and power point presentations * Assist in manpower and process development * Assist where needed by the department or other areas * Create and present status/result reports * Support task force data collection. * Support trials to help reduce zone HPV. * Station readiness boards for zone 1 and 2. * Help with station improvements. * Support zone 1 and 2 production engineers with future tasks. * Prepare onepager for presentations/ aduit TL/TM boards and station readiness * Develop schedules for production trials. * Update data bases in excel. * Prepare reports for shop management and engineering teams. Qualifikationen * Having graduated within the past 12 months or currently working towards a Bachelor's or Master's Degree in Mechanical, Electrical or Industrial Engineering or relevant degree is required to participate in the intern program. * Analytical thinking, ability to work systematically and independently * Basic programming skills preferred * Ability to develop complex excel sheets and PowerPoint presentations * Experience in PowerBI * Experience in Project Management Preferred Start Date: ASAP We are all in for change. Are you too? Apply now. If you have experience in the above and are interested in joining an outstanding company we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products. Mercedes-Benz Vans, LLC ("MBV") is a Ladson, South Carolina based production entity that produces Sprinter as well as eSprinter vans for the U.S. and Canadian markets. Mercedes-Benz Vans, LLC has invested more than 500 million U.S. Dollars in the new Sprinter plant, which officially opened in 2018. Today, the MBV facility provides more than 1,700 jobs and supports at least 600 additional jobs in the region through its suppliers. Representing an additional nearly $60 million investment, MBV Charleston was selected to be the first plant in the Mercedes-Benz Vans global production network to produce the all-new eSprinter, beginning in 2024. Mercedes-Benz Vans Charleston also continues investing in the local community with over $1,900,000 dollars donated to local non-profits & schools via STEM programs since 2006 and over 900 volunteer hours. Since 2006, more than 350,000 Sprinter and Metris vans have been assembled in North Charleston and delivered to destinations across the U.S. In 2021, the plant celebrated its 15-year legacy of SKD production in South Carolina. 2023 marked a plant milestone with a record-setting over 50,000 vans produced. The U.S. is the second largest market for Sprinter vans after Germany. Mercedes-Benz Vans, LLC is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, sex (including pregnancy, gender identity, and sexual orientation),age, national origin, religion, marital status, veteran status, physical or other disability, genetic information, or any other characteristic protected by federal, state or local law.

Job Description /MISSION: Gain exposure to internal operations at Roper Pumps through hands on experience in manufacturing, engineering, and other areas of the company. This will be a part-time position. ESSENTIAL DUTIES and RESPONSIBILITIES: Assist in key engineering projects. Assist in anticipated facility renovations. Present findings and lessons learned to top management at the end of the internship. Other duties as assigned by department. SUPERVISION EXERCISED: No direct supervisory duties ORGANIZATIONAL RELATIONSHIPS: Internal - Regularly interact with Operations, Quality, Engineering, Sales, Receiving and Manufacturing. External - Occasional interaction with suppliers and customers. QUALIFICATION REQUIREMENTS: Minimum Technical Qualifications: Currently pursuing a Bachelor degree in Engineering, Mechanical Engineering preferred. Strong spatial and mechanical reasoning skills. Preferred Technical Qualifications: Previous experience in a manufacturing environment. Required Behavioral Competencies: Communication - demonstrated ability to work effectively with cross-functional work groups including suppliers, customers, and associates, both verbally and in writing. Excellent listening skills. Creativity - generate original ideas, encourage new ways of thinking, explore options, and develop innovative solutions. Initiative - proactive and takes action without being prompted. Learning agility - continuously seeking new knowledge, creates and fosters a culture of interest, curiosity and learning. Flexible to change and learns from failure. Seeks to improve processes and products. Organization & Planning - manage time wisely and effectively prioritize multiple competing tasks. Potential - capable of assuming more responsible roles within the organization. Presentation Skills - written and verbal. Problem Solving & Decision Making - identifies and solves problems, develops innovative solutions, acts decisively, and shows good judgment. Results Orientation - maintains appropriate focus on short- and long-term goals. Motivated by achievement, and persists until goals are reached, conveying a sense of urgency. Self-Discernment - knows personal strengths and limitations and works toward improving areas of opportunity. Team Player - respond to requests from other parts of the organization and support larger legitimate organizational agendas. Travel: Not expected. Communication: Ability to communicate effectively with internal and external associates. Excellent listening skills. Computer Skills: In-depth knowledge of Microsoft Office required. Safety and Housekeeping: Belief in Roper Pump safety and housekeeping standards and procedures. NOTE: Internships may be in any department within Roper Pumps including but not limited to: Engineering, Quality, Design, Innovation, Finance, Marketing etc. AAP/EEO Statement Roper Pump Company provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law.

WHO WE ARE: Charlotte Motor Speedway is one of 11 premiere facilities across the country owned and operated by Speedway Motorsports, LLC. The entertainment complex annually hosts two NASCAR weekends, two NHRA events, World of Outlaws racing, classic car shows and the Southeast's largest drive-through holiday light show, among other events. After more than six decades of innovative firsts in entertainment and fan engagement, the speedway known as America's Home for Racing continues to be an iconic trailblazer in sports, entertainment and fan amenities. We maintain a consistent focus on four core principles: • Take care of our teammates • Be known for remarkable events • Positively impact our community • Profitably improve The ideal candidate will adopt a GLOBE mentality. GLOBE stands for Generously Lending Our Best Efforts. This is achieved by holding themselves and their teammates compassionately accountable for taking our best practices “the last mile” - optimizing them for maximum value to all stakeholders while sharing insights on how to improve our company. The ideal candidate will also be a productive and proactive self-starter who is passionate about his/her duties and willing to put forth the extra effort to achieve excellence. Overall Description: This internship opportunity is for individuals who have a strong passion for gaining corporate partnership activation and service experience in a high-pace, motorsports and events-oriented environment. This position will be responsible for assisting the Corporate Partnerships team with relationship building, execution and overall management of the team's corporate partnerships throughout their semester. Interns may work during weekends and potentially travel to either help promote CMS events or help our sister tracks' events. The Corporate Partnerships department involves working with clients and sponsors on a national, regional and local level. The department focuses on fully developing integrated marketing partnerships between the client and the speedway. This department seeks 2-3 individuals who are outgoing, creative, highly motivated, can-do individuals and embody our company principles; 1. Care for Your Teammates 2. Be Remarkable 3. Impact Your Community and 4. Continuously Improve. These individuals will partake in some of our many events which include two NASCAR weekends, Super Motocross, two NHRA weekends, World of Outlaws Dirt Racing World Finals, various Music Festivals, Monster Truck Bash, our annual AutoFair and Heritage Car Show, Speedway Christmas and many other ancillary events. Our annual event schedule can be found on our website. Reports To: Manager, Client Services Specific Duties include but are not limited to: Assist Business Development Executives with sales proposals for existing and potential clients, research of companies and other possible sales opportunities Learn alongside the Corporate Sales BDEs on prospecting, pitching and alongside the Client Services team in executing the partnerships Support the Client Services team in activating VIP experiences for clients Create end of event/partnership recaps showing current and potential partners their ROI alongside CS Team Help execute non-traditional events/facility rentals with furniture and equipment set-ups Be a key part in data management via our CRM, Salesforce, communicate marketing assets via Basecamp and update our internal Box database Lead the CMS LinkedIn page via scheduled and organic social posts in partnership with the CMS Social Team Participate in various weekly meetings and take meeting notes/minutes Answering inbound phone calls that can potentially involve selling or routing to appropriate departments All other duties as assigned The above description denotes some of the specific characteristics that are necessary to perform the principal functions of the job and are not intended to be a description of all work requirements that may be inherent in the position. Interns must be able to work a minimum of 25 hours per week, plus all events held during their semester. You will be subject to overtime during event weekends. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Charlotte Motor Speedway is the heart of Speedway Motorsports' nationwide network of entertainment venues. The company maintains a consistent focus on four core principles: Take care of teammates Be known for remarkable events Positively impact the community Profitably improve The ideal candidate will adopt a GLOBE mentality. GLOBE stands for Generously Lending Our Best Efforts. This is done by holding themselves and their teammates accountable for taking our best practices “the last mile” - optimizing them for maximum value to all of our stakeholders while sharing insights on how to improve our company. The ideal candidate will also be a productive and proactive self-starter who is passionate about his/her duties and willing to put forth the extra effort to achieve excellence. SUMMARY: The Event Operations Intern performs and supervises a variety of duties in the Event Operations Department of Charlotte Motor Speedway Operations; and performs related duties as assigned. DUTIES AND RESPONSIBILITIES: Reports to the Senior Manager of Event Operations to ensure that all events are serviced by pre/post cleaning, event setup and teardown, and facility maintenance projects Responsible for pre/post event trash pickup duties and hauling waste Involved in event setup equipment including barricades, parking cones, bleachers, and fencing Involved in track setup operations including setting barriers, track asphalt maintenance, and painting Performs pressure washing duties around property including grandstands, concourses, sidewalks buildings, and other facility areas Completes work order assignments in a timely manner Work events and perform various duties as needed to make event successful Performs preventative maintenance on all department equipment to ensure efficiency Assembles and moves furniture along with other equipment around property Attends Manager's and other staff meetings and is involved in logistical planning discussions Assists management in production and review of vendor RFPs Helps to ensure vendors are meeting the parameters of their contractual agreements Inventory review of Operational assets such as bike rack, trash receptacles, fencing, etc. Production of word or excel documents as needed by management Provide management with 360 feedback on workflow efficiency and performance of all fellow operations crew members Assist with the setup and teardown of all events as directed by management Assists other departments when needed Other duties as assigned KNOWLEDGE, SKILLS AND ABILITIES: Knowledge of event operations for a large scale multi-function event complex Knowledge of a variety of operations equipment including pressure washers, forklifts, tractors, etc. Knowledge of occupational hazards and safety precautions. Skills in following safety practices and recognizing hazards. Skill in using hand and power tools. Ability to establish and maintain effective working relationships with CMS staff and the customers. Ability to communicate effectively, both orally and in writing. PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT: Work involves moderate to heavy work in all types of weather. There is frequent need to stand, stoop, walk, lift heavy objects up to 50 pounds and perform other similar actions during the course of the workday. This position is 29 hours a week plus additional hours and possible overtime during our event seasons. It is required that the position is available to work all three shifts during event weekends. MINIMUM QUALIFICATIONS: High School diploma or GED and one (1) year event operations experience in a large event facility, or any equivalent combination of training and experience. Involvement in a College degree seeking track that requires an internship in the Facility Management or Event Management field. Must be at least 21 years old with a valid driver's license is required, and a clear driving record is required. This is a paid internship at a hourly rate.