Senior Engineering Manager, Autonomy Evaluation Applications

General Motors

. Lead the Driver Performance, Subsystem Evaluation, Scenario Classification, and Test Insights teams through their managers and tech leads .

Posted 11/4/2026full-timeSunnyvale • California • United StatesSenior💰 $296,300 - $453,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading teams focused on autonomous systems and machine learning evaluation, with a strong emphasis on strategy development, execution, and stakeholder engagement. Proficient in applying statistical analysis and metrics design to drive decision-making and improve evaluation processes.

Highest-signal resume keywords

10+ Years Experience In Autonomous Systems5+ Years People Leadership ExperienceProduction Python ExperienceML Evaluation ExpertiseStrong Stakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning EvaluationStatistical AnalysisMetric DesignClassifier Precision And RecallExperimental DesignData ScienceDriving-Log AnalysisVLM ApplicationLLM ApplicationSQL Experience

Soft Skills

Strong Relationship BuildingConflict ResolutionDecision MakingInfluencing Without AuthorityTeam Development

Certifications & Qualifications

Bachelor's Degree In Computer ScienceMaster's Degree In RoboticsPhD In Machine Learning

Industry Keywords

Autonomous DrivingRoboticsData PlatformsEvaluation EvidenceSimulationOn-Road Testing

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the Driver Performance, Subsystem Evaluation, Scenario Classification, and Test Insights teams through their managers and tech leads
Own the Eval Applications strategy, roadmap, quarterly plans, execution, and staffing
Decide team priorities, sequencing, and work to stop in alignment with AV program milestones and release needs
Make evaluation results trusted and used by Autonomy, Simulation, Systems, Safety, and Software Validation teams
Run the loop from observed driving behavior to ranked problems, fixes, ownership, and closure
Enable rapid and reliable assessment of whether software or model changes improve driving
Establish regression detection that release reviews can depend on
Set and track evaluation-quality and impact measures, including classifier precision and recall, time to trusted answers, and decision impact
Maintain technical quality through design reviews, code review standards, testing, and statistically sound analysis
Partner with principal and staff engineers on technical direction
Introduce VLM- and LLM-based classification and triage with human review, and AI-assisted development
Turn evaluation results into recommendations for engineering and executive leadership
Hire, develop, and retain managers, tech leads, engineers, and data scientists
Grow the next layer of leaders and lead through managers and tech leads
Shape team structure and staffing as priorities change
Resolve cross-team conflicts and align stakeholders
Work with Autonomy Evaluation and AV leadership on long-term evaluation strategy and release confidence

Requirements

What you’ll need

10+ years of experience in autonomous systems, robotics, ML evaluation, applied data science, or large-scale data platforms
Track record of turning analysis into decisions and shipped improvements
5+ years of people leadership, including leading managers or tech leads across multiple teams
Track record of hiring and developing strong managers and engineers
Experience owning strategy, roadmap, and execution for a distinct technical area
Hands-on depth in ML or autonomy-system evaluation, including metric design, classifier precision and recall, sampling, experimental design, and statistical confidence
Strong stakeholder engagement and ability to build trusted relationships
Production Python and SQL experience in team environments
Ability to review designs and code
Record of influencing priorities across organizations without direct 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 field robotics, including driving-log analysis and simulation and on-road testing
Preferred: experience leading teams producing evaluation evidence for validation and release decisions
Preferred: experience evaluating an autonomy subsystem and relating it to overall driving behavior
Preferred: experience applying VLMs or LLMs to event classification, triage, or scenario discovery
Preferred: experience leading mixed teams of software engineers and data scientists
Preferred: strong data-visualization instincts

Benefits

Comp & perks

Incentive pay program with payouts based on company performance, job level, and individual performance
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Company vehicle evaluation program, subject to successful motor vehicle report review
Remote/hybrid work arrangement