Senior Software Engineer Autonomy Evaluation

• Architect and implement metrics and analyses to introspect autonomous driving software performance at interfaces across the autonomy stack; partner closely with autonomy developers and systems engineers.

• Design and implement analysis algorithms that summarize aggregate and cluster metrics produced by simulations and on-road runs of the autonomy stack.

• Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.

• Develop and apply methods to introspect the operation of ML components in the autonomy stack including evaluation of perception prediction and planning models.

• Build and maintain autonomy evaluation dashboards and interactive reports that provide clear explainable insights (e.g. trend analysis drift detection scenario coverage) for development verification and leadership.

• Leverage vision-language models (VLMs) and large language models (LLMs) where appropriate to classify autonomy performance identify critical scenarios and prioritize validation efforts integrating human-in-the-loop review where needed.

• Maintain a high technical standard through thoughtful system design code reviews testing observability and adherence to software-engineering best practices.

• Interface with cross-organizational partners to articulate requirements resolve handoff issues and share best practices around evaluation metrics and experiment design.

• 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 C omputer Science Robotics Mechanical or Aerospace Engineering Machine Learning Data Science or a related field or equivalent practical experience

• Experience in a utonomous 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.

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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