Software Engineer, Autonomy Behavior Validation

• 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.

• 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.

• 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