Engineering Manager, Autonomy Systems Verification and Validation
Lead a team of engineers in verification and validation of autonomous vehicle safety performance using simulation, data analysis, and testing. Requires 7+ years in vehicle/system validation, BS in relevant field, and leadership experience.
About the job
Responsibilities
- Directly manage and grow a team of 5+ verification and validation (V&V) systems engineers, providing mentorship and career guidance.
- Develop, own, and execute the end-to-end V&V strategy for the autonomous vehicle’s (AV's) behavioral competencies, from simulation to on-road validation -- with a focus on corner cases for both perception and behavior/decision-making.
- Drive the definition and implementation of performance metrics, data extractors, and statistical evaluation methods to form objective conclusions about AV performance.
- Establish effective collaborations with multiple cross-functional teams like perception, planning, controls, and safety to streamline the development and creation of tests across our validation pipelines.
- Lead the planning, execution, and timeline delivery of vehicle tests, including cross-functional coordination with vehicle engineering, operations, and software teams.
- Deliver robust validation evidence to support increasingly complex operations and provide clear, data-driven feedback to development teams.
- Maintain traceability between requirements, behavioral test cases, and results to support our safety case.
- Propose and implement process and methodology improvements to accelerate test iteration.
Qualifications
- B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Computer Science, or Systems Engineering
- 7+ years of industry experience with vehicle or complex system validation; ADAS or AV focus preferred
- 2+ years of experience with leading direct reports
- Experience developing integration and test plans and procedures for the rigorous V&V of safety critical robotic systems, autonomous vehicles, or other complex robotics/software systems
- Demonstrated ability to operate in an agile environment and to distill clarity for a team from ambiguous problem statements
- Analytical skills and hands-on experience
- Proficiency with probability and statistics
- Cross-disciplinary background and curiosity
- Confident with automotive electronics
Bonus Qualifications
- M.Sc. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Computer Science, or Systems Engineering
- Proven experience leading the V&V of key behavioral competencies for autonomous systems
- Strong understanding of data-driven, statistical approaches to complex system performance evaluation
- Familiarity with programming languages such as Python
- Familiarity with SQL and navigating modern data models
- Experience with Linux Systems
Skills
Python, SQL, Linux, Probability And Statistics, Simulation, Log Data Analysis, Automotive Electronics, Adas, Autonomous Vehicles, Agile
Similar jobs
Engineering Management jobs
Chime
San Francisco, CA
Leads and grows Data Engineering teams building scalable, governed, AI-ready data foundations and trusted data products. The role requires 7+ years leading Data Engineering teams and experience with technologies including Spark, Snowflake, data lakes, data warehouses, key-value stores, and dbt.
SimplePractice
United States
Leads and develops a software engineering squad, setting technical direction, guiding architecture across the full stack, and partnering with product and design on roadmap decisions. Requires substantial software engineering and people-management experience, web application architecture expertise, and hands-on technical leadership.
Bubble
New York, NY
Leads and grows the Developer Experience engineering team, owning initiatives that improve developer velocity, quality, and satisfaction across Bubble. The hands-on manager needs extensive software engineering and management experience, broad technical depth, and expertise in developer tooling and AI-assisted workflows.
Nectarsocial
Palo Alto, CA
Leads technical vision and hands-on execution for core engineering teams building real-time AI and social-commerce products. The role combines architecture, product partnership, coding, mentorship, and formal management, requiring 8+ years of software engineering experience and 2+ years managing engineers.
Databricks
MarylandLeads a Public Sector Delivery Solution Architecture team responsible for post-sales technical strategy, production deployments, customer growth, and delivery execution. Requires U.S. citizenship, 7+ years of customer-facing experience, and experience leading technical post-sales teams in data and AI environments.