Engineering Manager - Autonomy Evaluation

Job Description General Motors is a global leader in advanced driver assistance. With Super Cruise hands‑free technology in more than 500,000 Super Cruise‑equipped vehicles on the road and over 700 million hands‑free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting‑edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. 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, 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. Responsibilities Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on‑road testing. Set technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stack. Drive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on‑road runs. Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains. Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams. Ensure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight. Partner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs. Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human‑in‑the‑loop review. Maintain a high technical bar through strong system design, code review, testing, observability, and engineering best practices. Translate system‑level results into clear feedback for engineering and leadership and drive execution against high‑priority evaluation outcomes. Leadership Responsibilities Build a high‑performing, inclusive engineering team through hiring, coaching, feedback, and career development. Create clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domain. Balance near‑term delivery with long‑term platform investments in metrics, tooling, and infrastructure. Raise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanisms. Represent the team effectively across partner organizations and influence decisions that affect system‑level AV quality. Your Skills & Abilities 8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems. 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time‑series data, state derivatives, dynamics, and interconnected subsystems. Strong proficiency developing Python in production team environments, including testing, performance, and code review. Strong hands‑on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large‑scale analysis and reporting. Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms. 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. 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 Experience in autonomous driving or field robotics, including interpreting results from simulation and field experiments. 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. Compensation The salary range for this role is $185,100 and $284,100. 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. Benefits Health and wellbeing benefit programs, including 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: After completion of a motor vehicle report review, eligible employees can participate in a company vehicle evaluation program, in which a General Motors vehicle is assigned for evaluation. Participants are required to purchase or lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. 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. 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. 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 View phone number on click.appcast.io. 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