Autonomy Evaluation Architect

generalmotors; Sunnyvale (CA); Hybrid; USD 185,000 - 284,000; Full time

Benefits offered by this job

Hybrid work schedule

Company vehicle program

Relocation assistance

Job summary

General Motors in Sunnyvale is seeking an experienced professional to shape the evaluation platform for autonomous driving software. You will define metrics, lead cross-functional teams, and translate system results into actionable insights for product readiness.

The role emphasizes ML methods, large-scale time-series analysis, and performance dashboards, with a hybrid work model and potential relocation support.

Qualifications

• 7+ years experience in robotics or autonomous systems software.
• 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, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
• PhD, Masters, or Bachelor’s degree in CS, 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

Robotics software

Autonomy systems

Python development

C++ codebase

Cross-team leadership

Education

PhD, Masters, or Bachelor’s degree in CS/Robotics/Engineering

Tools

Python

C++

Pandas

NumPy

SciPy

PyTorch

ROS

Job description

General Motors in Sunnyvale is seeking an experienced professional to shape the evaluation platform for autonomous driving software. You will define metrics, lead cross-functional teams, and translate system results into actionable insights for product readiness.

The role emphasizes ML methods, large-scale time-series analysis, and performance dashboards, with a hybrid work model and potential relocation support.