Senior Autonomy Evaluation Engineer — AV Metrics & ML

General Motors; Augusta (ME); Remote; USD 140,000 - 210,000; Full time

Job summary

General Motors is seeking a seasoned professional to champion evaluation for autonomous driving software. The role focuses on defining metrics, partnering with autonomy, systems, simulation, and data teams to ensure data-driven decisions and scalable analytics.

You will own AV evaluation KPIs, present tradeoffs to stakeholders, and drive dashboards and pipelines to accelerate validated AV deployment across platforms.

Qualifications

• 7+ years of applied robotics or autonomous systems software experience.
• 3+ years leading evaluation of complex dynamic systems using ML on large time-series data.
• Production‑level Python development; strong C++ codebase experience.
• Cross‑functional leadership shaping strategy across teams.
• PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or related field.

Responsibilities

• Define 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

Robotics/Autonomous systems

ML-driven evaluation

Python production

C++ autonomy codebases

Cross-functional leadership

Education

Doctorate/Master/Bachelor in CS/Robotics/Engineering

Tools

ROS

SQL

Pandas/NumPy/SciPy

Visualization libraries

Job description

General Motors is seeking a seasoned professional to champion evaluation for autonomous driving software. The role focuses on defining metrics, partnering with autonomy, systems, simulation, and data teams to ensure data-driven decisions and scalable analytics.

You will own AV evaluation KPIs, present tradeoffs to stakeholders, and drive dashboards and pipelines to accelerate validated AV deployment across platforms.