Job Description
Work Arrangement:
This role is categorized as Remote/hybrid. Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Sunnyvale ], you are expected to report to that location three times per week, at minimum.
About the Organization
The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics,evaluation infrastructure,automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework.By joining this team, you will help shape GM’s core evaluation platforms and infrastructure, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
We are looking for a Senior Manager to lead a critical autonomy evaluation area spanning platform, methodology, and organizational execution. This leader will combine deep technical judgment, strong people leadership, strategic planning, and cross-functional influence to define how evaluation supports product, safety, and release decisions across GM’s autonomous driving programs.
Own the strategy, roadmap, and operating plan for a distinct Autonomy Evaluation business areaspanningmethodology, platforms, and infrastructureensuring alignment with autonomy product goals, safety priorities, and release needs.
Define and evolve the end-to-end evaluation strategy for autonomy performance, including scenario coverage, behavioral quality measurement, trend detection, risk assessment, and release-gating readiness.
Drive cross-functional alignment with Autonomy, Simulation, Systems, and Safety organizations to translate ambiguous validation needs into clear priorities, roadmaps, and execution plans.
Oversee evaluation approaches for ML components acrossperception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams.
Maintain a high technical bar throughstrong systemdesign, code review, testing, observability, and engineering bestpractices.
Drive the development of scalable evaluation infrastructure, including data pipelines, workflow orchestration, developer tooling, and service interfaces that improve reliability and iteration speed.
Leadership Responsibilities
Build and lead a high-performing, inclusive engineering organization through hiring, manager development, coaching, and feedback.
Lead through managers and senior technical leaders, creating strong accountability, healthy operating rhythms, and clear ownership across teams.
Create clarity across priorities, roadmaps, dependencies, and staffing plans for a technically complex, cross-functional domain.
Establish org-level goals, KPIs, and success measures for evaluation quality, scalability, insight generation, and execution effectiveness.
Raise the quality of execution through strong planning discipline, design reviews, metrics, and decision-making mechanisms.
Your Skills & Abilities (Required Qualifications)
10+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, autonomy analytics,or large-scale data/infrastructure platformswitha track recordof delivering complex software or data systems.
Demonstrated ownership of a distinct technical or business area, including strategy, roadmap, execution planning, KPI management, and cross-functional outcomes.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end.
Experience building or leading production infrastructure for large-scale data processing, workflow orchestration, observability, and service reliability.
Experiencedeveloping Python/C++ in production team environments, including testing, performance, and code review.
Experience evaluating dynamic systems using numerical, statistical, and/or machine learning methods, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong ability to translate ambiguous evaluation needs and complex technical findings into clear plans, decisions, and communication for executive, engineering, and cross-functional audiences.
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis.
Experience with ROS or similar robotics/IPC frameworks, log pipelines, experiment databases, platform services, or evaluation infrastructure.
Prior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
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 New York, Colorado, California, or Washington.
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.
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.
#LI-SA2





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, emailus 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.
