Remote Autonomy Subsystem Evaluation Manager

Able Too Work; Sunnyvale (CA); Ibrido; USD 219.000 - 335.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Relocation benefits

Descrizione del lavoro

General Motors is seeking a Manager of Subsystem Evaluation to lead a team of engineers and data scientists. You will own the roadmap, execution, and staffing for metrics that quantify how subsystem errors affect driving outcomes.

You will collaborate with autonomy teams, Driver Performance, and Scenario Classification teams. The role emphasizes rigorous evaluation methods, regression checks, and clear communication of results to leadership.

Competenze

• Deep knowledge of autonomy metrics and their limits.
• Experience leading engineers or data scientists.
• Production Python and SQL experience in team environments.
• Comfort reading C++ autonomy code.

Mansioni

• Set the roadmap and quarterly plans for subsystem evaluation, tied to milestones and release needs.
• Build metrics that weight subsystem errors by their effect on downstream decisions and driving.
• Trace bad driving in simulation and road data back to the subsystem or interaction that caused it.
• Provide fast, trustworthy answers on whether a change helped or hurt driving, including regression detection.
• Ensure metrics meet driving outcomes and remain robust with confidence ranges and limits.
• Apply ML/LLM techniques where applicable in development processes.
• Turn results into clear findings for autonomy teams and leadership with recommended fixes.

Conoscenze

Autonomy metrics knowledge

Leadership / people mgmt

Python and SQL production

C++ reading code

Formazione

Bachelor's/Master's/PhD in CS/Robotics/ML or related

Strumenti

Python

SQL

C++

Descrizione del lavoro

General Motors is seeking a Manager of Subsystem Evaluation to lead a team of engineers and data scientists. You will own the roadmap, execution, and staffing for metrics that quantify how subsystem errors affect driving outcomes.

You will collaborate with autonomy teams, Driver Performance, and Scenario Classification teams. The role emphasizes rigorous evaluation methods, regression checks, and clear communication of results to leadership.