Principal Engineer, Autonomy Systems Engineering, ODD Definition & Risk

New

JobgetherAutonomous driving

Remote locations within the United StatesFull-TimePrincipal

SalaryBase salary range: $200,000–$275,000 USD. Potential additional compensation through bonus and/or company equity.

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Job Details

Hold a bachelor's degree in Systems Engineering, Computer Science, Aerospace Engineering, Robotics, or a related technical discipline; a master's degree is preferred.
Have at least 7 years of engineering experience, ideally including Advanced Driver Assistance Systems (ADAS) or autonomous driving technologies.
Understand modern software development principles, engineering workflows, and production best practices.
Have experience querying and analyzing databases and presenting insights using tools such as SQL and Looker.
Have experience with agentic-based software development and data analysis.
Use Git and standard version control workflows.
Be comfortable with continuous integration and continuous delivery (CI/CD) practices in an agile environment.
Be able to analyze complex system performance and large-scale datasets, identify inconsistencies and operational risks, and maintain data quality and testing rigor.
Travel up to 20%, typically for 1–2 weeks each quarter, to testing sites, primarily in Las Vegas and other domestic locations.
Meet the role's physical demands, which may include extended sitting, prolonged standing and walking, handling equipment, reaching, and occasionally lifting or moving up to 50 pounds; reasonable accommodations may be available.
Be able to work around mechanical and computer equipment, with occasional exposure to fumes or airborne particles and low-to-moderate noise.

Coordinate driverless readiness testing with teams executing system tests, integrating evolving testing processes and ensuring assessments meet their intended scope.
Review automatically generated test outcomes, verify their correctness, and investigate discrepancies across testing modalities.
Organize test-analysis findings, assess potential impacts, and collaborate with the Safety team on risks and mitigations.
Communicate test outcomes, risks, and emerging issues to stakeholders, engineering teams, and company leadership.
Work with developers to investigate issues, understand root causes, coordinate resolution, and escalate findings when appropriate.
Partner with Technical Program Management and Commercial teams to translate evaluations and identified gaps into autonomy roadmap recommendations.
Guide improvements to autonomy capabilities within existing Operational Design Domains and support capability development for new environments.
Own and evolve tools for processing and analyzing large datasets as testing methods and evaluation processes change.
Use testing evidence and operational risk analysis to support system readiness, performance evaluation, and deployment decisions.

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