The role involves managing cross-functional programs to develop and implement verification and validation tools for autonomous driving systems, ensuring their reliability and safety for driverless deployment.
Key Responsibilities
Lead technical program execution for systems verification and validation tooling to ensure driverless readiness.
Coordinate integration of tooling with simulation and autonomy stacks across engineering teams.
Translate verification needs into concrete tooling requirements for perception, planning, control, and safety validation.
Manage project plans, track progress, risks, and metrics related to validation infrastructure development.
Collaborate with engineers to evolve validation infrastructure supporting model validation, synthetic data, and automation.
Ensure validation tools meet safety and regulatory standards for driverless operations.
Provide updates, decision documentation, and risk assessments to stakeholders.
Identify and implement improvements to validation workflows to accelerate system testing cycles.
Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
At least 5 years of experience in technical program management, systems engineering, or software development in robotics, automotive, or related technology domains.
Proven experience leading cross-functional programs involving multiple engineering disciplines such as software, hardware, autonomy, or systems.
Strong understanding of system verification and validation, testing frameworks, or simulation infrastructure.
Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences.
Proficiency with agile program tools such as Jira, Asana, and technical documentation platforms like Confluence.
Experience translating high-level systems verification needs into concrete tooling requirements across perception, planning, control, and safety validation workflows.
Ability to build and maintain detailed execution plans, track progress, risks, and metrics using internal tools such as Asana, Confluence, or custom dashboards.
Experience partnering with systems and simulation engineers to evolve infrastructure supporting model validation, synthetic data, test orchestration, and automation at scale.
Experience driving validation tool readiness reviews and ensuring the VV tooling stack meets regulatory and internal safety certification standards for driverless operations.
Ability to provide regular program updates, decision documents, and risk assessments to technical and leadership stakeholders.
Ability to identify bottlenecks in tooling workflows and implement improvements to accelerate system validation cycles.
Benefits & Perks
Compensation/salary range between $160,360 and $240,540 depending on experience and qualifications