Senior Engineering Manager, Autonomy Evaluation Applications

General Motors LLC; Sunnyvale (CA); Híbrido; USD 296.000 - 454.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and wellbeing benefits

GM vehicle program

Tuition assistance

Descripción de la vacante

General Motors is seeking a Senior Manager for Eval Applications to lead four teams focused on evaluating autonomous driving systems. You will own the strategy, roadmap, and quarterly plans, prioritizing work, and staffing to deliver measurable improvements in driving quality.

You will collaborate with autonomous driving, simulation, and software teams to ensure results inform decisions. You will engage with principal and staff engineers to align methodologies, share findings, and drive adoption

Formación

• 10+ years in autonomous systems or related field.
• 5+ years leading multiple teams.
• Bachelor's or higher in CS/ML/Engineering.

Responsabilidades

• Own the strategy, roadmap, and quarterly plans for Eval Applications.
• Lead four teams through managers and tech leads.
• Set priorities and staffing for evaluation of driving quality.
• Turn results into clear recommendations for engineering and leadership.

Conocimientos

Autonomous systems

Robotics

ML evaluation

Data science

Leadership

People management

Strategy development

Python

SQL

Cross‑functional

Educación

Bachelor's in CS

Master's in CS/Engineering/ML

PhD in related field

Herramientas

Python

SQL

LLMs

Descripción del empleo

Job Description

About the Organization Join the team building GM's next generation of autonomous driving, starting with eyes-off driving on the highway and growing toward point-to-point autonomy. The goal is autonomous capability that is safe, reliable, comfortable, and scalable across GM's vehicle portfolio. Autonomy Evaluation helps the AV program figure out where the driver still falls short. Every mile our vehicles drive, on the road or in simulation, carries that signal. We turn it into answers: what is limiting the system, how big each problem is, and what fixing it is worth. Those answers steer what GM's autonomy teams build next and inform software release decisions. Evaluation Applications is the part of Autonomy Evaluation that turns evaluation into decisions. It has four teams. Driver Performance measures overall driving quality. Subsystem Evaluation measures how subsystems such as perception, prediction, planning, and localization affect driving. Scenario Classification builds the scene classifiers that tag what happened in every drive and simulation run. Test Insights turns results into findings for engineering and release reviews.

The Role

As Senior Manager of Eval Applications, you will lead these four teams through their managers and tech leads, and own the roadmap, execution, and staffing for how we measure driving quality and turn it into decisions. The work is concrete: using scene classifiers to find simulation tests that don't exercise the behavior they were written to check, or ranking the subsystem failures behind a drop in driving quality so the right team fixes the right thing first. You'll set priorities, build the team, and make sure partner teams trust and act on what we produce. You'll work with the org's principal and staff engineers, who lead evaluation methodology, and with the Software Validation and Safety teams, who use our results in test strategy and release decisions.

What You'll Do

Own the strategy, roadmap, and quarterly plans for Eval Applications, tied to the AV program's product milestones and release needs. Decide what the teams build, what they stop, and in what order. Make evaluation results trusted and used. Partner teams in Autonomy, Simulation, Systems, Safety, and Software Validation should know what each metric and scene classifier means, how accurate it is, and when to rely on it. Run the loop from observed driving behavior to ranked problems to fixes, so issues found in road and simulation testing get sized, routed to the owning team, and tracked to closure. Make sure teams can tell quickly and reliably whether a software or model change improved driving, including regression detection that release reviews can depend on. Set and track org-level measures of evaluation quality and impact, such as classifier precision and recall, time from a new question to a trusted answer, and how often our findings change a decision. Keep the technical bar high through design reviews, code review standards, testing, and statistically sound analysis, and work with principal and staff engineers on technical direction. Bring in new methods where they pay off, including VLM- and LLM-based classification and triage with human review, and AI-assisted development across the team. Turn results into clear recommendations for engineering and executive leadership: what changed, how confident we are, and what to do next.

Leadership Responsibilities

Hire, develop, and retain managers, tech leads, engineers, and data scientists, and grow the next layer of leaders. Lead through managers and tech leads with clear ownership, steady operating rhythms, and real accountability. Run performance management fairly and directly. Shape team structure and staffing as priorities change, balancing near‑term program needs against longer‑term investments in methods and tooling. Resolve cross-team conflicts over priorities, ownership, and contradictory results, and align stakeholders on what to do next. Work with Autonomy Evaluation and AV leadership on long‑term evaluation strategy and the decisions that affect release confidence.

Your Skills & Abilities (Required Qualifications)

• 10+ years of experience in autonomous systems, robotics, ML evaluation, applied data science, or large‑scale data platforms, with a track record of turning analysis into decisions and shipped improvements.
• 5+ years of people leadership, including leading managers or tech leads across multiple teams.
• A track record of hiring and developing strong managers and engineers, and building teams that do well when priorities shift.
• Ownership of the strategy, roadmap, and execution for a distinct technical area, with measurable outcomes for cross‑functional customers.
• Hands‑on depth in evaluating ML or autonomy systems, including metric design, classifier precision and recall, sampling, experimental design, and statistical confidence.
• You can review an analysis and tell when its conclusion doesn't hold.
• Strong stakeholder engagement. You build trusted relationships with partner teams and leadership, and keep them aligned through changing priorities and disagreement.
• Production Python and SQL experience in team environments, and comfort reviewing designs and code.
• A record of influencing priorities across organizations without direct authority, using data that others trust.
• Strong ability to turn ambiguous questions and uncertain results into clear plans and recommendations for executive, engineering, and cross‑functional audiences.
• Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, 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 driving‑log analysis and results from both simulation and on‑road testing.
• Experience leading teams that produced evaluation evidence for validation and release decisions, ideally for driver‑assistance or automated‑driving products.
• Experience evaluating at least one autonomy subsystem (perception, prediction, planning, or localization) and relating it to overall driving behavior.
• Experience applying VLMs or LLMs to event classification, triage, or scenario discovery.
• Experience leading mixed teams of software engineers and data scientists.
• Strong data‑visualization instincts, with the ability to turn high‑dimensional metrics into clear views for technical and non‑technical audiences.

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. The salary range for this role: $296,300 - $453,900. 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

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.

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], you are expected to report to that location three timesperweek, at minimum.

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.

We are leading the change

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.

Our Company

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.

Explore our global locations

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 our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (avature.net).

Our Culture

We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility.

Please note about Talent Community

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above.

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.

How we Hire

To learn more, visit How we Hire.

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.