Staff Software Engineer - Autonomy Evaluation
General Motors2 months ago
Responsibilities
- Define strategy and architecture for metrics and analyses evaluating autonomous driving software across the autonomy stack.
- Lead cross-functional efforts integrating evaluation into development workflows and release decisions.
- Develop statistical, machine learning, and ML introspection methods to quantify performance, detect regressions, and identify system behavior patterns.
- Own AV evaluation metrics and KPIs used for readiness and safety decisions.
- Synthesize and present evaluation results and tradeoffs to stakeholders.
- Build interactive dashboards and make evaluation insights available to partner teams.
- Design, run, and interpret large-scale simulation and field experiments and support evaluation pipelines and release-gating processes.
Requirements
- At least 7 years of applied experience with robotics or autonomous systems software spanning perception, planning, and vehicle control.
- At least 3 years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
- Production Python development experience and the ability to work in large C++ autonomy codebases.
- Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
- PhD, master’s, or bachelor’s degree in computer science, robotics, mechanical or aerospace engineering, machine learning, or a related field.
- Preferred experience in autonomous driving or high-stakes field robotics and large-scale simulation or field experimentation.
- Preferred familiarity with statistical modeling, experimental design, hypothesis testing, Pandas, NumPy, SciPy, and visualization libraries.
- Preferred proficiency in C++ and SQL, experience with logging, data schemas, and large-scale autonomy evaluation pipelines.
- Preferred experience with ROS or other IPC, robotics stack logging, experiment databases, computational geometry, linear algebra, PyTorch, machine learning, agent interaction modeling, and autonomy release-gating criteria.
Benefits
- GM provides benefits and Total Rewards resources supporting employee well-being at work and at home.
- The company promotes an inclusive workplace and equal employment opportunity.
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.