Manager, AV Planner Evaluation

GM • Sunnyvale, CA

1d • Hybrid

About The Position

As Engineering Manager for Planner Evaluation on General Motors’ Motion Planning team, you will lead a team specializing in simulation and on-road evaluation workflows that support development of the Super Cruise portfolio. The team develops metrics, automated workflows, and analysis approaches to enable data-driven decisions across autonomy development and verification.

You will define the technical vision and multi-quarter roadmap for Planner Evaluation, guide design from architecture through validation, and coordinate with multiple teams to deliver reliable, scalable evaluation solutions aligned with Super Cruise program goals. The role includes developing engineers, promoting software engineering best practices, and helping shape GM’s engineering culture and principles.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or a 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 a disciplined approach to root-causing anomalous data and system discrepancies.
• Passion for self-driving technology and its potential impact.

Nice To Haves

• Solid understanding of vehicle dynamics.
• Expertise in Planning and Controls system design.
• Experience evaluating robotics or AV systems using camera, lidar, or radar sensor data and working with large-scale time-series analysis.
• Strong data visualization intuition and ability to turn high-dimensional metrics into clear, trustworthy views for technical and non-technical audiences.
• Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation.
• Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
• Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms.
• Prior 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 to improve engineering productivity and evaluation coverage.
• Background in robotics or the AV/ADAS industry.

Responsibilities

• Own the multi-quarter roadmap and its realization for autonomy planner evaluation.
• Guide developers through system design and implementation.
• Establish verification and validation strategies for autonomy planning systems, including simulation and on-road testing.
• Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
• Lead root-cause investigations into complex integration issues using data-driven techniques and principled experimentation.
• Create test plans for new features and define metrics for analyzing performance.
• Mentor engineers across teams, raising 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, fast-paced, and inclusive setting.
• Lead technical reviews and promote software engineering best practices across the team and organization.
• Help define, build, and embody GM engineering culture and principles.

Benefits

• Incentive pay program with payouts based on company performance, job level, and individual performance.
• Eligibility to participate in a company vehicle evaluation program, subject to successful completion of a motor vehicle report review. Participants are required to purchase or lease a qualifying GM vehicle every four years unless an exception applies.
• The job may be eligible for relocation benefits.
• GM provides well-being support at work and at home.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager