Manager, AV Planner Evaluation

Manager, AV Planner Evaluation### Manager, AV Planner EvaluationApply: Remote/Hybrid: Sunnyvale, California, United States of America: Full time: Posted Today: JR-202621587**Job Description****Work Arrangement:** This role is categorized as hybrid. This means the successful candidate is expected to report to **Sunnyvale, CA** three times per week at minimum or other frequency dictated by the business. **The Role** As Engineering Manager for Planner Evaluation, you will be a senior contributor in the Motion Planning team at GM. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across autonomy development and verification. In this role, you will lead a team with deep domain expertise in simulation and on-road evaluation workflows used to advance GMs Super Cruise portfolio. You will define the technical vision and multi-quarter roadmap for Planner Evaluation, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable evaluation solutions that meet Super Cruise program goals. **What You’ll Do*** Own multi-quarter roadmap designs and their realization for autonomy planner evaluation.* Guide other 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 for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance.* Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline.* Improve and deliver reliable software through continuous integration, automated testing, and code reviews.* Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.* Lead technical reviews and drive software engineering best practices across the team and the larger organization.* Help define, build, and embody GM engineering culture and principles.**Your Skills & Abilities (Required Qualifications)*** Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or related* 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 an 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 on the world**What Can Give You a Competitive Advantage (Preferred Qualifications)*** Solid understanding of vehicle dynamics* Expertise in Planning and Controls system design* Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis.* Strong intuition for data visualization and the 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.* A background in robotics or the AV/ADAS industry**Compensation**: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.* The salary range for this role is ($218,800 - $335,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.* Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. **Company Vehicle**: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. This Job may be eligible for relocation benefits. #J-18808-Ljbffr