Manager, AV Planner Evaluation

Job DescriptionWork 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 DoOwn 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 related5+ years of experience in engineering analysis, ML evaluation, or autonomy analytics3+ years of experience evaluating dynamic systems using numerical and/or ML approaches, including time-series data and state derivatives3+ years of experience building and managing high-performing engineering teamsStrong proficiency developing Python in production team environments, including testing, performance, and code reviewComfort working with C++ codebases, including reading, debugging, and instrumenting core algorithmsStrong hands-on familiarity with data visualization libraries for large-scale analysis and reportingDemonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-endStrong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plansStrong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepanciesPassion for self-driving technology and its potential impact on the worldWhat Can Give You a Competitive Advantage (Preferred Qualifications)Solid understanding of vehicle dynamicsExpertise in Planning and Controls system designExperience 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 industryCompensation: 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.#LI-SA2 About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.SummaryLocation: Sunnyvale, California, United States of AmericaType: Full time