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Manager, AV Planner Evaluation
General MotorsPosted 10/21/2026full-timeSunnyvale • California • United StatesMid-LevelSenior💰 $218,800 - $335,300 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in autonomy planner evaluation, including developing metrics and automated workflows for verification. Proven ability to lead engineering teams, establish verification strategies, and drive software engineering best practices in a collaborative environment.
Highest-signal resume keywords
Python DevelopmentC++ Codebase FamiliarityData Visualization LibrariesTechnical LeadershipEngineering Team Management
Tech Stack
Tools & technologiesPythonPyTorchSQLC++
About the role
Key responsibilities & impact- Lead the Planner Evaluation team within GM’s Motion Planning organization
- Define the technical vision and multi-quarter roadmap for autonomy planner evaluation
- Develop metrics, automated workflows, and analysis approaches for autonomy development and verification
- Guide developers through system design and implementation
- Establish verification and validation strategies using simulation and on-road testing
- Partner with Safety, Systems Engineering, and Product to generate onboard-system requirements
- Lead root-cause investigations for complex integration issues using data-driven techniques and experimentation
- Create test plans for new features and define performance metrics
- Mentor engineers across teams and raise technical judgment, design quality, and execution discipline
- Improve and deliver reliable software through continuous integration, automated testing, and code reviews
- Develop and oversee software engineers in a dynamic, inclusive environment
- Lead technical reviews and drive software engineering best practices across the organization
- Help define and embody GM engineering culture and principles
Requirements
What you’ll need- Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or related field
- 5+ years of experience in engineering analysis, ML evaluation, or autonomy analytics
- 3+ years of experience evaluating dynamic systems using numerical and/or ML approaches, including time-series data and state derivatives
- 3+ years of experience building and managing high-performing engineering teams
- Strong proficiency developing Python in production team environments, including testing, performance, and code review
- Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms
- Strong hands-on familiarity with data visualization libraries for large-scale analysis and reporting
- Demonstrated technical leadership, including 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
- Passion for self-driving technology
- Preferred: solid understanding of vehicle dynamics
- Preferred: expertise in Planning and Controls system design
- Preferred: experience evaluating robotics or AV systems using camera, lidar, and radar sensor data and large-scale time-series analysis
- Preferred: data visualization for high-dimensional metrics
- Preferred: statistical modeling, experimental design, and hypothesis testing
- Preferred: SQL, logging, data schemas, and large-scale autonomy evaluation pipelines
- Preferred: ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms
- Preferred: computational geometry, linear algebra, PyTorch, and ML techniques
- Preferred: release gating, risk assessment, and safety-related autonomy decisions
- Preferred: AI-assisted development and analytics tools
- Preferred: robotics or AV/ADAS industry background
Benefits
Comp & perks- Incentive pay program with payouts based on company, job-level, and individual performance
- Company vehicle evaluation program, subject to successful motor vehicle report review
- Eligibility for relocation benefits
- General Motors benefits and Total Rewards resources
- Workplace accommodations for applicants with disabilities
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning EvaluationNumerical AnalysisDynamic Systems EvaluationStatistical ModelingExperimental DesignHypothesis TestingComputational GeometryLinear AlgebraSQLROS
Soft Skills
Cross-Functional CommunicationAnalytical CuriosityMentoringTechnical JudgmentExecution Discipline
Tools & Technologies
Data Visualization ToolsAutomated Testing FrameworksContinuous Integration SystemsLogging PipelinesExperiment Databases
Industry Keywords
Autonomy DevelopmentSelf-Driving TechnologyVehicle DynamicsRoboticsAV Systems