General Motors is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. They are seeking a Software Engineer on the Software Validation team to play a critical role in simulation-led validation of autonomous vehicle behavior, focusing on automation, internal tooling, and AI-assisted workflows.

Responsibilities

• 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

Skills

• 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

Benefits

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• 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 job may be eligible for relocation benefits.
• From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

Company Overview

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