Staff Software Engineer - AV Evaluation & Metrics

General Motors; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

General Motors in Sunnyvale seeks an experienced autonomous driving evaluation leader to define metrics and analytics across the autonomy stack, partnering with autonomy, simulation, systems, and safety teams to embed evaluation into development workflows.

You will own AV performance KPIs, drive new ML methods for detection of regressions, and present insights via dashboards to stakeholders; a PhD/Masters/Bachelors in CS/Robotics/Mechanical/Aerospace/ML is preferred.

Qualifications

• 7+ years applied experience with robotics or autonomous systems software across subsystems.
• 3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
• Proficiency developing Python in production team environments; strong 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.
• A strong curiosity to question anomalous data and systematically root-cause discrepancies.
• PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.

Responsibilities

• Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
• Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.
• Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
• Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders.
• Make insights readily available to partner teams through interactive dashboards.

Skills

Python production

C++

ML methods

Cross-team leadership

Statistics

Data analysis

Education

PhD, Masters, or Bachelor’s in CS/Robotics/Mechanical/Aerospace/ML

Tools

ROS

SQL

Pandas

NumPy

SciPy

PyTorch

Job description

General Motors in Sunnyvale seeks an experienced autonomous driving evaluation leader to define metrics and analytics across the autonomy stack, partnering with autonomy, simulation, systems, and safety teams to embed evaluation into development workflows.

You will own AV performance KPIs, drive new ML methods for detection of regressions, and present insights via dashboards to stakeholders; a PhD/Masters/Bachelors in CS/Robotics/Mechanical/Aerospace/ML is preferred.