Manager, AV Evaluation

General Motors

. Lead, coach, and grow a team building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing .

Posted 10/22/2026full-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 advanced machine learning methods and data analysis techniques. Proficient in Python, statistical modeling, and robotics frameworks to drive performance evaluation and system improvements.

Highest-signal resume keywords

Technical LeadershipPython DevelopmentMachine Learning EvaluationData AnalysisAutonomous Systems Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningData AnalysisStatistical ModelingSQLC++Computational GeometryLinear AlgebraROSData Visualization

Soft Skills

Cross-Functional CommunicationAnalytical CuriosityCoachingTeam BuildingProblem Solving

Tools & Technologies

PandasNumPySciPyPyTorchData Visualization LibrariesLogging FrameworksEvaluation PlatformsExperiment DatabasesAI-Assisted Development ToolsDashboards

Industry Keywords

Autonomous DrivingRoboticsAV SystemsSensor DataSimulationPerformance EvaluationDynamic SystemsExperimental DesignHypothesis TestingSafety-Related Decisions

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchSQLC++

About the role

Key responsibilities & impact

Lead, coach, and grow a team building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing
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 technical standards through system design, code review, testing, observability, and engineering best practices
Translate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes
Build an inclusive, high-performing 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
Represent the team across partner organizations and influence decisions affecting system-level AV quality

Requirements

What you’ll need

8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems
3+ years evaluating dynamic systems using numerical and/or ML approaches, including 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 for large-scale analysis and reporting
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 approach to root-causing 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
Experience in autonomous driving or field robotics
Experience evaluating robotics or AV systems using camera, lidar, and radar sensor data
Familiarity with statistical modeling, experimental design, and hypothesis testing
Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines
Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms
Experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control
Background contributing to release gating, risk assessment, and safety-related decisions for autonomy systems
Experience using AI-assisted development and analytics tools

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 after successful motor vehicle report review
Relocation benefits for candidates who qualify under company policy
Benefits supporting well-being at work and at home
Required travel under 25% for this role