Internship Autonomous Vehicle Jobs in California

Job Description
As a Software Engineer on the Software Validation team within the AV organization, you will play a critical role in simulation-led validation of autonomous vehicle behavior, with a strong focus on automation, internal tooling, and AI-assisted workflows.
You will leverage your experience in software engineering to convert validation strategies into well-architected, automated pipelines and tools that analyze AV behavior at scale. You will work with a team of engineers to define best practices, raise the bar internally on coding quality and automation, and evaluate the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.
About the Organization
The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes.
The Software Validation team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.
What You'll Do

• Design and deploy metrics and test strategies at scale to evaluate the behavior of autonomous vehicles in simulation and on-road.
• Translate validation strategies into production-quality code and automation pipelines that execute high-quality AV behavior analysis for continuous and scaled software release cycles.
• Leverage AI-assisted and agentic workflows to build internal tools and frameworks that make it easier to author, configure, and deploy metrics, tests, and validation artifacts.
• Ensure the quality and reliability of behavior validation outputs through monitoring, alerting, automated checks, and continuous improvement of the underlying code and data pipelines.
• Collaborate across teams to establish coding and automation best practices for the Software Validation organization; and understand stakeholder needs and translate them into robust tools and workflows.

Your Skills & Abilities

• Master's degree in Computer Science, Software Engineering, Data Science, or related fields.
• 1-3 years of professional software engineering experience (including internships, co-ops, or research engineering roles) building automation, internal tools, or data/analysis pipelines.
• Using large language models (LLMs) to summarize results, generate reports, or accelerate analysis,
• Building simple agents or scripts that chain tools together to complete tasks end-to-end.
• Strong programming skills in Python and experience with SQL.
• Experience writing clean, well-tested, and maintainable code for data processing, backend services, or scientific/analytical workflows.
• Experience working with large datasets to derive insights, build analyses, or drive decisions.
• Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions.
• Ability to adapt and operate under ambiguity, going from quick code prototypes to longer-term, production-ready solutions on brief time horizons.
• Excellent communication skills, capable of switching between high-level and detailed technical discussions.
• Curiosity and willingness to learn new tools and domains, especially in autonomous systems, robotics, and safety-critical software.

What Will Give You a Competitive Edge

• Proven track record of successful software engineering on a safety-critical or high-reliability product, especially as it relates to verification and validation tools, testing frameworks, or CI/CD automation.
• Experience with robotics, autonomous vehicles, vehicle development, or ADAS development.
• Experience developing dashboards and data visualizations using tools such as Looker, Jupyter notebooks, or similar platforms to communicate validation results to stakeholders.
• Experience with modern software engineering practices, such as:
• Version control (e.g., Git),
• Code review and continuous integration,
• Automated testing and monitoring for production data/analysis pipelines.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
• The salary range for this role: is $123,200 to $189,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
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