Senior Software Engineer – Autonomy Evaluation
General Motors2 months ago
Responsibilities
- Architect and implement metrics and analyses for autonomous-driving software performance across subsystem interfaces.
- Design analysis algorithms to summarize, aggregate, and cluster simulation and on-road autonomy results.
- Develop statistical and ML methods for measuring performance and identifying system and subsystem behavior patterns.
- Evaluate perception, prediction, and planning models within the autonomy stack.
- Build and maintain evaluation dashboards and interactive reports covering trends, drift detection, and scenario coverage.
- Use vision-language models and large language models when appropriate to classify performance, identify critical scenarios, and prioritize validation with human review.
- Maintain production-quality software through system design, code reviews, testing, and observability.
- Drive cross-organizational requirements, resolve handoff issues, and share evaluation and experiment-design practices.
Requirements
- 5+ years of applied experience with robotics or autonomous-systems software, data analysis, ML evaluation, or autonomy analytics.
- 3+ years evaluating dynamic systems using numerical or ML approaches involving time-series data, dynamics, state derivatives, and interconnected subsystems.
- Strong production Python development experience, including testing, performance, and code review.
- Proficiency with Pandas, NumPy, SciPy, and plotting or visualization libraries for large-scale analysis and reporting.
- Comfort working with C++ codebases, including reading, debugging, and instrumenting algorithms.
- Demonstrated technical leadership in architectural decisions, cross-team design influence, and end-to-end ownership of complex features or services.
- Bachelor’s, master’s, or PhD in computer science, robotics, mechanical or aerospace engineering, machine learning, data science, or a related field, or equivalent practical experience.
- Preferred experience includes autonomous driving or field robotics, sensor-data analysis, simulation and field experiments, statistical modeling, experimental design, hypothesis testing, SQL, ROS, log pipelines, evaluation platforms, computational geometry, linear algebra, PyTorch, and ML techniques for autonomy.
- Preferred candidates may have experience with agent interaction modeling, release-gating and safety decisions, and AI-assisted development or analytics tools.
Benefits
- GM provides employee well-being and career-support benefits through its Total Rewards resources.
- Applicants may be required to complete a role-related assessment and/or pre-employment screening.
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.