Engineering Manager – Autonomy Subsystem Evaluation

General Motors

. Lead a team of engineers and data scientists and own its roadmap, execution, and staffing .

Posted 11/4/2026full-timeSunnyvale • California • United StatesSeniorLead💰 $218,800 - $335,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing teams of engineers and data scientists while driving the evaluation of autonomous systems through robust metrics and statistical analysis. Proficient in Python and SQL, with a strong foundation in autonomy metrics, experimental design, and the ability to translate complex data into actionable insights.

Highest-signal resume keywords

Autonomous Systems EvaluationTeam ManagementStatistical AnalysisProduction PythonSQL Experience

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Hard Skills

Autonomy MetricsExperimental DesignHypothesis TestingRoot-Cause AnalysisC++ Code ReviewData VisualizationCausal AnalysisMachine Learning InterpretabilityTime-Series Data AnalysisPerformance Management

Soft Skills

Building TrustInfluencing Without AuthorityTurning Ambiguity into ClarityConflict ResolutionCommunication

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

RoboticsMachine LearningData ScienceAutonomous DrivingVehicle DynamicsPlanning and ControlsSimulationOn-Road DataCameraLidar

Tech Stack

Tools & technologies

PythonSQLC++

About the role

Key responsibilities & impact

Lead a team of engineers and data scientists and own its roadmap, execution, and staffing
Set the roadmap and quarterly plans for subsystem evaluation tied to AV program milestones and release needs
Prioritize subsystems and evaluation questions, including deciding what to stop
Build metrics that weight subsystem errors by their effect on downstream decisions and driving
Trace poor driving in simulation and road data to the subsystem or interaction that caused it
Measure how subsystem errors contribute to driving outcomes
Provide autonomy teams and release reviews with trustworthy answers on whether software or model changes helped or hurt driving
Detect regressions and perform version-to-version comparisons
Validate metrics against driving outcomes and human judgment, communicate confidence and limitations, and retire ineffective metrics
Apply VLMs and LLMs where applicable in development and triaging processes
Turn evaluation results into findings and recommendations for autonomy teams and leadership
Hire, develop, and retain engineers and data scientists
Set ownership and operating rhythms while maintaining technical standards through design reviews, code reviews, testing, and statistically sound analysis
Balance near-term program requests with longer-term investments in metrics and methods
Build trust with autonomy teams and resolve disagreements over priorities or conflicting results
Report to the Senior Manager of Eval Applications

Requirements

What you’ll need

8+ years in autonomous systems, robotics, ML evaluation, or applied data science, including hands-on evaluation of planning, perception, prediction, or localization
3+ years managing engineers or data scientists, including hiring and performance management
Deep knowledge of autonomy metrics and their limitations
Strong statistics for evaluation, including sampling, confidence intervals, experimental design, and hypothesis testing on time-series data
Disciplined approach to root-causing anomalous data and unexpected system behavior
Production Python and SQL experience in team environments
Comfort reviewing designs and code
Ability to read C++ autonomy code to understand subsystem behavior
Proven ability to build trusted relationships with partner teams and influence without authority
Ability to turn ambiguous questions and uncertain results into clear plans and recommendations
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, Data Science, or a related field, or equivalent practical experience
Preferred: experience in autonomous driving or driver assistance with simulation and on-road data, including camera, lidar, and radar
Preferred: understanding of vehicle dynamics and planning and controls system design
Preferred: experience with causal or counterfactual analysis
Preferred: experience with ML interpretability, such as attribution, ablations, or embedding analysis
Preferred: strong data-visualization instincts
Preferred: experience leading mixed teams of software engineers and data scientists
Selected candidate must travel less than 25% for this role

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company, job-level, and individual performance
Eligibility for General Motors company vehicle evaluation program, subject to motor vehicle report review
Relocation benefits for candidates who qualify under company policy
Benefits supporting employee well-being at work and home
Reasonable accommodations for individuals with disabilities