Lead Engineering Manager, Autonomy Subsystem Evaluation

General Motors Company; United States; Hybrid; USD 219,000 - 335,000; Full time

Benefits offered by this job

Company vehicle program

Job summary

General Motors seeks a seasoned leader to manage Subsystem Evaluation within the Autonomy Evaluation group. You will own the roadmap, drive metrics, and staff a team of engineers and data scientists to quantify how subsystem errors affect driving outcomes.

You will collaborate with autonomy teams, Driver Performance, and Scenario Classification, presenting clear findings and prioritizing fixes. This remote/hybrid role reports to the Eval Applications senior manager and offers a competitive

Qualifications

• 8+ years in autonomous systems, robotics, ML evaluation, or applied data science.
• 3+ years managing engineers or data scientists, including hiring and performance management.
• Deep knowledge of autonomy metrics and their limits, such as planner quality measures and trajectory prediction metrics.
• Able to tell when a metric improves without overall system improvement.
• Strong statistics for evaluation, including experimental design and hypothesis testing.
• Root-causing anomalous data and unexpected system behavior.
• Production Python and SQL experience in teams; comfortable reviewing designs and code.
• Reading C++ autonomy code to understand subsystem behavior.
• Proven ability to build trusted relationships with partner teams using data they trust.
• Ability to turn ambiguous questions into clear plans for engineering and leadership.

Responsibilities

• Set roadmap and quarterly plans for subsystem evaluation aligned with AV milestones.
• Decide subsystem priorities and what to stop.
• Build metrics weighted by their effect on downstream decisions and driving.
• Trace bad driving in simulation/road data to subsystems and interactions.
• Provide fast, trustworthy answers on whether changes helped or hurt driving.
• Forbid metrics that don’t hold up against driving outcomes and human judgment.
• Apply LLMs/ML techniques where applicable and report findings clearly to teams and leadership.
• Lead reviews and foster high technical standards in design, code, and testing.

Skills

Autonomous systems

Team management

Statistics

Python & SQL

C++ reading

Data-driven decisions

Cross-team collaboration

Education

Bachelor's/Master's/PhD in CS/Robotics/ML/Data Science

Tools

Python

SQL

C++

Job description

General Motors seeks a seasoned leader to manage Subsystem Evaluation within the Autonomy Evaluation group. You will own the roadmap, drive metrics, and staff a team of engineers and data scientists to quantify how subsystem errors affect driving outcomes.

You will collaborate with autonomy teams, Driver Performance, and Scenario Classification, presenting clear findings and prioritizing fixes. This remote/hybrid role reports to the Eval Applications senior manager and offers a competitive