Manager, AV Evaluation

General Motors; Sunnyvale (CA); Hybrid; USD 219,000 - 335,000; Full time

Benefits offered by this job

Company vehicle program

Incentive pay

Job summary

General Motors in California seeks an experienced Engineering Manager to lead the Evaluation team for autonomous driving analytics. You will build and scale evaluation platforms, dashboards, and data pipelines, partnering with Autonomy, Simulation, Systems, and Safety teams to drive end-to-end AV quality.

The role emphasizes leadership, architecture, and the delivery of actionable insights from simulation and on-road tests, with a focus on explainable, scalable methods and strong engineering

Qualifications

• 8+ years of experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, with leadership experience.
• 3+ years evaluating dynamic systems using numerical/ML methods, incl. time-series, dynamics, and subsystems.
• Strong Python production experience, testing, performance, and code review.

Responsibilities

• Lead and grow a team of engineers building autonomy evaluation platforms, metrics, and dashboards.
• Set technical direction for systems evaluating autonomous driving software performance across interfaces.
• Drive development of analysis algorithms to summarize and cluster metrics from simulations and on-road runs, with scalable ML methods.
• Translate results into clear feedback for engineering and leadership to guide product and release decisions.

Skills

Python

Pandas

NumPy

SciPy

C++

Data visualization

ML evaluation

Leadership

Education

Bachelor’s/Master’s/PhD in CS/Robotics/ML or related field

Tools

ROS

PyTorch

SQL

Job description

Job Description Work Arrangement

This role is categorized as Remote/hybrid. Remote:This role is basedremotely but if you live within a 50-mile radius of [Austin, Detroit, Warren,Milford, Sunnyvale, CA], you are expected to report to that location three times per week, at minimum.

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.

By joining this team, you will help shape GM’s core evaluation platforms, turn system‑level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.

What You’ll Do

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 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 (Required Qualifications)

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. This manager version is adapted from a senior IC profile that calls for 5+ years in these domains. 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 (Preferred Qualifications)

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 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.

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 your 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 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.

Our Company, Our Culture, How we hire

Learn more about: Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.

Join us to help lead the change that will make your world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).

As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you need to use the link above.