Manager, Autonomy Systems Validation

Hybrid: This role is categorized as remote.

Role: As a Manager Autonomy Systems Engineering & Validation you will serve as the technical owner for selected automated driving features and autonomy subsystemstranslating product intent into integrated operating concepts (ConOps) functional and performance requirements subsystem boundaries and verification strategies. You will lead a team of senior systems engineers who define what must be proven how it maps to the autonomy stack and what evidence is required to support product launch and continuous over-the-air (OTA) release decisions for next-generation L3 automated driving capabilities.

You will combine chief-engineer-level systems design with people leadership: owning feature and solution requirements from product definition through testable specifications architecting end-to-end validation strategies across simulation hardware-in-the-loop (HIL)/bench closed-track and on-road environments and delivering traceable validation evidence that cross-functional partners consume for development safety case and release decisions.

About the Organization: The Autonomous Vehicle (AV) organization is building the next generation of L3 automated driving capabilities. Within Software Validation this team is the systems-design and requirements authority for selected autonomy features and subsystemsturning product and architecture inputs into operating concepts technical requirements safety-informed specifications and verification & validation (V&V) strategies. You will partner with simulation ML/AI safety and platform teams on test execution and tooling; your core responsibility is to define system intent and the evidence needed to prove it at scale.

What Youll Do:

• Serve as technical Directly Responsible Individual (DRI) and people leader for systems engineering covering features such as collision detection and response minimum risk maneuvers (MRM) operating modes and state management navigation cloud services and related subsystems.
• Own the systems-design lifecycle from operating concept through tiered requirements acceptance criteria and validation roadmaps aligned to product milestones. Author and govern all levels of requirements with end-to-end traceability to product requirements hazards regulatory constraints and test evidence.
• Architect V&V strategies and test frameworks across simulation HIL/bench closed-track and on-road environmentsincluding defining metrics acceptance criteria and confidence thresholds tied to requirements and safety goals. Strategies naturally feed release gates monitoring and the safety case.
• Lead cross-functional systems reviews with Safety Embodied AI Simulation Platform and Productdriving alignment on requirements hazards validation design and launch readiness from ambiguous early inputs.
• Build and develop a team of senior and staff systems engineershiring for systems-design depth not just test execution; coaching technical DRIs on complex autonomy subsystems.
• Represent the function in executive program reviews design reviews and launch readiness forumscommunicating technical trade-offs validation maturity and evidence gaps to senior leadership.
• Champion systems engineering best practices across the organization: design documentation hazard traceability impact analysis and scalable validation planningfrom ad hoc testing to industrialized V&V.
• Drive 01 systems design for new autonomy capabilitiesrapidly prototyping requirements and validation concepts gaining cross-functional consensus and maturing them into baselined specifications under change control.
  

Your Skills & Abilities

• 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 fieldswith a track record of leading technical definition and V&V for multi-subsystem safety-critical programs (autonomous vehicles ADAS robotics aerospace or defense).
• 2 years of experience leading engineers in a people management or dotted-line technical leadership role.
• Strong foundations in systems engineering including requirements decomposition interface definition operating concepts (ConOps) hazard-informed design and requirementstestevidence traceability.
• Demonstrated ability to design and review multi-environment V&V strategies spanning simulation bench/HIL closed-track and on-road testing including sim-to-physical correlation.
• Comfortable working with validation data and metrics; ability to interpret outputs from simulation test and monitoring pipelines (Python/SQL familiarity a plus not the core of the role).
• Excellent communication skills able to explain complex technical topics in clear simple language. Ability to tailor messages to engineers cross-functional partners and senior leaders.
• Proven ability to operate in ambiguity create structure and move from quick prototypes to robust scalable solutions on tight timelinesincluding chief-engineer or technical pillar ownership on major programs.
  

What Will Give You A Competitive Edge

• Experience with autonomous vehicles vehicle development or ADAS development.
• Experience defining or validating operational design domains (ODD) 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 results 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.
• Chief Engineer Lead Systems Engineer or Distinguished Engineer experience on a major autonomy or safety-critical program
• Published large tiered requirement sets for vehicle or platform programs.
  

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: is $189300 to $290700. 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