General Motors is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Software Engineer on the Software Validation team will play a critical role in simulation-led validation of autonomous vehicle behavior, focusing on automation 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
- 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
Company Overview
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.gm.com.Company H1B Sponsorship
General Motors has a track record of offering H1B sponsorships, with 132 in 2026, 787 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role.