Autonomy Evaluation Engineer — Metrics & ML for AVs

generalmotors; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

General Motors seeks a senior leader to define metrics and analyses for autonomous driving performance across the autonomy stack, partnering with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.

You'll own AV evaluation metrics and KPIs, synthesize results for stakeholders, and enable partners with dashboards and scalable pipelines to accelerate validated AV deployment at GM.

Qualifications

• 7+ years in robotics or autonomous systems software spanning 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 environments; strong ability to work in large C++ autonomy codebases.
• Proven cross-team technical leadership, defining strategies adopted by multiple teams.

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 and detect regressions at scale.
• Own and refine key AV evaluation metrics and KPIs; synthesize and present results and tradeoffs to stakeholders; enable dashboards for partner teams.

Job description

General Motors seeks a senior leader to define metrics and analyses for autonomous driving performance across the autonomy stack, partnering with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.

You'll own AV evaluation metrics and KPIs, synthesize results for stakeholders, and enable partners with dashboards and scalable pipelines to accelerate validated AV deployment at GM.