Senior Software Engineer, Autonomy Evaluation

General Motors, Remote - United States

The role

Job Description

General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

What you need

5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception, prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong proficiency developing Python in production team environments, including testing, performance, and code review.
Proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries for large-scale data analysis and reporting.
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
A strong curiosity to question anomalous data and systematically root-cause discrepancies.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end.
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.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience in autonomous driving or field robotics, including visualizing and interpreting results from simulation and field experiments.
Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large-scale time-series analysis.
Strong intuition for data visualization and the ability to decompose high-dimensional metrics into clear, trustworthy, and consumable views for technical and non-technical audiences.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.
Proficiency in C++ and SQL; experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
Experience working with ROS or similar robotics/IPC frameworks, log pipelines, and large-scale experiment databases or evaluation platforms.
Prior development experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
Background in modeling agent interaction and contributing to release gating and safety decisions for autonomy systems.
Experience leveraging AI-assisted development and analytics tools to improve productivity and evaluation coverage.





 About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Senior Software Engineer, Autonomy Evaluation

The role

Senior Software Engineer, Autonomy Evaluation

The role

What you will do

What you need

Non-Discrimination and Equal Employment Opportunities (U.S.)

Pay and benefits

About General Motors

About the Organization

Why Join Us

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