Engineering Manager - Autonomy Evaluation Job at General Motors (Sunnyvale)

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.

Job Responsibility

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
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

Requirements

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

Nice to have

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

What we offer

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
Company vehicle evaluation program

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Engineering Manager - Autonomy Evaluation

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