Tech Lead Manager - Validation Metrics job opportunity at General Motors.

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DatePosted 12 Days Ago bot
General Motors Tech Lead Manager - Validation Metrics
Experience: 10-years
Pattern: full-time
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loacation Sunnyvale, California, United States of America, United States Of America
loacation Sunnyvale, Cal..........United States Of America

Job Description About the Role   As a   Tech Lead Manager, Validation Metrics   on the   Software Validation   team within the Autonomous Vehicle (AV) organization, you will own the end-to-end lifecycle of validation metrics for the   Super Cruise   program—from   requirements definition and metric design through implementation, deployment, and continuous monitoring . You will lead a team of systems engineers to design robust, scalable metrics that underpin   all of   autonomy validation.   Your work will directly support our goals to deliver high-confidence validation signals in simulation and on-road, enable release decisions, and continuously   monitor   production performance across the SC3 stack.     About the Organization   The   Autonomous Vehicle (AV) organization   is dedicated to advancing the development of autonomous vehicles through   cutting-edge   simulation technologies and novel iterative development processes.    The   Software Validation   team focuses on unlocking software launches and continuous release decisions via simulation-led verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing.      What   You’ll   Do   Own Validation Metrics Strategy and Roadmap , ensuring alignment with all stakeholders while delivering metrics commitments on program milestones.   Lead the End-to-End Metric Lifecycle   from stakeholder requirements and design through implementation, validation, and continuous monitoring across simulation and road environments.   Accelerate Metric Deployment   by   identifying   and acting on opportunities for automation, agentic offloading, and scale.   Lead a High-Impact Engineering Team   of systems engineers, setting technical direction;   establishing   engineering best practices, and hiring against the metrics and confidence roadmap.   Drive Cross-Functional Collaboration   to ensure metrics, slicers, and monitoring signals are usable, trusted, and integrated into scorecards, reports, and decision processes.   Ensure High-Quality Monitoring and Feedback Loops   with clear targets on completeness and quality, driving continuous improvement in autonomy performance and safety.     Your Skills & Abilities   10+ years   of experience in   software engineering, data/ML engineering, or robotics , including substantial work on evaluation, analytics, or metrics for complex systems.   3+ years   of experience   managing engineering teams , including hiring, performance management, and technical leadership.   Strong background in   metrics design and evaluation   for complex or safety-critical systems (e.g., AV/ADAS, robotics, large-scale ML systems, or similar).   Proficiency   in   Python   and   SQL   for large-scale data analysis and building production-quality analytics or evaluation pipelines; familiarity with   C++   or similar languages is a plus.   Demonstrated ability to   translate ambiguous validation and safety goals into concrete metrics , acceptance criteria, and implementation plans.   Excellent   communication and stakeholder management skills , capable of switching between high-level strategy and detailed technical discussions with engineers, data scientists, and non-technical partners.     What Will Give You a Competitive Edge   Experience with   autonomous driving, ADAS, robotics, or other safety-critical domains , especially in validation, safety, or systems engineering roles.   Solid understanding of the   ML lifecycle   (data, training, evaluation, deployment), including common pitfalls such as   data leakage, covariate shift, and label noise , and how they influence metric design and interpretation.   Experience with   simulation-led validation , including scenario-based testing, golden-set creation, and sim–road correlation metrics.   Hands-on experience with   agentic workflows   (LLM-based agents, workflow orchestration frameworks, or similar) used to accelerate analyses, automate documentation, or orchestrate complex data and metric pipelines.   Background in   learned metrics ,   representation learning , or   advanced analytics   for evaluation of ML systems, particularly in high-dimensional sensor or trajectory data.   Track record   of   building and scaling new teams or charters , especially in rapidly evolving technical problem spaces like AV validation, ML evaluation, or safety analytics.     Compensation:   The expected base compensation for this role is: $ 189,300- $290,700 . Actual base compensation within the identified 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.   Benefits:   Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.   



This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

 About GM Our 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 Us   We 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 Overview From 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 . Accommodations General 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, email us or call us at 1-800-865-7580. 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.

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