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As a Manager, Autonomy Systems Validation, you will lead a team of systems and software engineers responsible for validating key features and subsystems of our next generation automated driving stack. You and your team will focus on how and where the system is allowed to operate, how it behaves in different conditions, and how we ensure the overall “product envelope” is safe and well-defined. You will combine deep systems thinking with strong people leadership to define requirements, design validation frameworks, and deliver clear, data-backed evidence that supports launch and continuous software release decisions for autonomy features. You will work closely with cross-functional partners to define program goals and create actionable roadmaps that drive systems design execution.
Job Responsibility:
Lead a team of systems and software engineers focused on defining autonomy boundaries, defining behavior in normal and edge-case scenarios, and translating that scope and behavior into clear requirements and validation plans
Own feature and subsystem level requirements and validation strategies for areas such as system state and mode management, ODD entry/exit behavior, and collision response
Build and maintain validation frameworks across simulation, hardware-in-the-loop / bench, closed course, and on-road testing
Define and review metrics and acceptance criteria that describe success for these systems and ensure they are connected to requirements and safety goals
Partner with cross-functional teams including safety, embodied AI, simulation, platform, and product management to integrate validation outputs into development workflows, program decisions and the safety case
Work with data and tools (e.g. Python/SQL, dashboards, scorecards, requirements and test management systems) to turn test results into clear insights and recommendations
Hire, develop, and mentor engineers
set clear expectations, provide regular feedback, and foster an inclusive, high performance team culture
Represent your workstreams in program reviews, leadership forums, communicating status, risks, trade-offs, and validation readiness concisely
Champion improvements to processes and tools that make it easier for the organization to author, trace, and execute system-level validation plans at scale
Requirements:
Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields
10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, validation, or other related fields
2+ years of experience leading engineers in a people management or dotted-line technical leadership role
Strong foundations in systems engineering including decomposition of complex systems, defining clear interfaces, and traceability best practices
Demonstrated ability to design and review multi-environment test strategies spanning simulation, bench/HIL, closed course, and on-road testing, or similar
Comfortable working with data and metrics with proficiency in python/SQL, dashboard building, and test scripting
Excellent communication skills, able to explain complex technical topic in clear, simple language. Ability to tailor messages to engineers, cross-functioanl partners, and senior leaders
Proven ability to operate in ambiguity, create structure, and move from quick prototypes to robust, scalable solutions on tight timelines
Nice to have:
Experience with autonomous vehicles, vehicle development, or ADAS development
Experience defining or validating operational design domains and/or system behavior in critical scenarios such as minimum risk maneuvers, hazard avoidance, or fault handling
Hands-on experience with validating systems using robotics simulation and correlating to physical testing
Experience with requirements and test management tools and integrating them into engineering and validation workflows
Familiarity with hazard and safety analysis methods (e.g. FMEA< STPA, fault trees) and how they connect to validation plans and evidence
Track record of building and scaling teams, including hiring, coaching, and developing systems and validation engineers
Proficient with SQL, Python, and C++ for analyzing large data sets
Comfortable using AI tools and agents to automate workflows and accelerate software development