AV Evaluation Manager

General Motors

Engineering Manager leading General Motors’ autonomous-driving evaluation platforms and analytics. Guiding teams developing metrics, ML methods, dashboards, and release-quality insights.

Posted 9/9/2026full-timeSunnyvale • California • 🇺🇸 United StatesSeniorLead💰 $218,800 - $335,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical teams to develop and evaluate autonomous systems, utilizing machine learning and data analysis to drive performance insights. Proficient in Python, statistical modeling, and cross-functional communication to align technical strategies with product goals.

Highest-signal resume keywords

Technical LeadershipMachine Learning EvaluationPython DevelopmentData AnalysisAutonomous Systems Expertise

ATS Keywords

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Hard Skills

Machine LearningData AnalysisStatistical ModelingPythonC++SQLTime-Series DataExperimental DesignComputational GeometryLinear Algebra

Soft Skills

Cross-Functional CommunicationAnalytical CuriosityCoachingFeedbackTeam Building

Tools & Technologies

PandasNumPySciPyData Visualization LibrariesROSPyTorchLogging ToolsEvaluation PipelinesDashboardsInteractive Reports

Industry Keywords

Autonomous DrivingRoboticsAV SystemsSensor DataRisk Assessment

Tech Stack

Tools & technologies

C++NumpyPandasPythonPyTorchSQL

About the role

Key responsibilities & impact

Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling
Set technical direction for systems that introspect autonomous driving software performance across interfaces and the autonomy stack
Drive design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runs
Guide development of statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains
Oversee evaluation approaches for ML components across perception, prediction, and planning
Ensure delivery of dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight
Partner with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs
Help leverage VLMs and LLMs to classify autonomy performance and prioritize validation work with human-in-the-loop review
Maintain high standards through system design, code review, testing, observability, and engineering best practices
Translate system-level results into clear feedback for engineering and leadership
Build a high-performing, inclusive engineering team through hiring, coaching, feedback, and career development
Create clarity across priorities, roadmaps, and dependencies
Balance near-term delivery with long-term platform investments
Raise execution quality through clear ownership, design reviews, and operating mechanisms
Represent the team across partner organizations and influence system-level AV quality decisions

Requirements

What you’ll need

8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics
Substantial experience leading technical teams and delivering complex software systems
3+ years evaluating dynamic systems using numerical and/or ML approaches
Experience with time-series data, state derivatives, dynamics, and interconnected subsystems
Strong proficiency developing Python in production team environments, including testing, performance, and code review
Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms
Demonstrated technical leadership driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end
Strong cross-functional communication and ability to convert ambiguous evaluation needs into clear technical plans
Strong analytical curiosity and disciplined root-cause analysis of anomalous data and system discrepancies
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience
Preferred: experience in autonomous driving or field robotics
Preferred: experience evaluating robotics or AV systems using camera, lidar, and radar sensor data
Preferred: statistical modeling, experimental design, and hypothesis testing
Preferred: proficiency in SQL and experience with logging, data schemas, and evaluation pipelines
Preferred: experience with ROS or similar robotics/IPC frameworks
Preferred: computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control
Preferred: experience with release gating, risk assessment, and safety-related autonomy decisions
Preferred: AI-assisted development and analytics tools

Benefits

Comp & perks

Incentive pay program with payouts based on company performance, job level, and individual performance
Company vehicle evaluation program, subject to successful motor vehicle report review
Assigned General Motors vehicle to drive and evaluate through the company vehicle evaluation program
Eligibility to participate in GM benefits and Total Rewards resources
Reasonable accommodations for job seekers with disabilities