Engineering Manager Autonomy Evaluation
Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Job Description
General Motors is a global leader in advanced driverassistance. WithSuper Cruisehands-free technology in more than 500000 Super Cruiseequipped 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 bringcutting-edgeadvances to everyday drivers atunprecedentedscale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
About the Organization
TheEvaluation teambuilds and evolves the evaluation ecosystem that powers the development and scaling of GMs 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 GMs core evaluation platforms turn system-level results into clear feedback for engineering and leadership and help accelerate validated AV deployment at scale.
We are looking for an Engineering Manager to lead a team building the software metrics and analysis systems used to evaluate autonomous driving performance at scale. This leader will combine strong technical judgment with people leadership cross-functional influence and execution rigor to help shape GMs core evaluation platforms and accelerate validated AV deployment.
What Youll Do (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. 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.
Bachelors Masters 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 Competetive 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 $185100 and $284100. 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 incentivepayprogram offers payouts based on company performance job level and individual performance.
Benefits
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 tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.
Company Vehicle
Upon successful completion of a motor vehicle report review you will be eligible toparticipatein a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/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 were looking out for your well-beingat work and at homeso 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
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Required Experience:
Manager
About Company
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