Staff Autonomy Evaluation Engineer

General Motors LLC; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Total Rewards resources

Job summary

General Motors is seeking a senior member of the Evaluation team to shape metrics for autonomous driving software performance across the autonomy stack. You will partner with autonomy, systems, simulation, and data teams to embed evaluation into development workflows and gate decisions.

The role emphasizes building scalable analytics, KPIs, and ML-based insights, with a track record in robotics or autonomous systems, Python and C++ expertise, and cross-team leadership.

Qualifications

• 7+ years applied experience with robotics or autonomous systems software, spanning subsystems from perception through planning and control.
• 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.

Responsibilities

• Define 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 to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
• Own and refine key AV evaluation metrics and KPIs and present results and tradeoffs to stakeholders.

Skills

Robotics software

Autonomous systems

Python production

C++ codebases

Leadership

Interdisciplinary collaboration

Education

PhD/Masters/Bachelors in Computer Science/Robotics/Engineering/ML

Tools

ROS

SQL

Pandas

NumPy

SciPy

PyTorch

Job description

General Motors is seeking a senior member of the Evaluation team to shape metrics for autonomous driving software performance across the autonomy stack. You will partner with autonomy, systems, simulation, and data teams to embed evaluation into development workflows and gate decisions.

The role emphasizes building scalable analytics, KPIs, and ML-based insights, with a track record in robotics or autonomous systems, Python and C++ expertise, and cross-team leadership.