Systems Engineer, Autonomy Verification and Validation

In this role, you will:

• Develop, coordinate, and execute efficient simulation and structured test plans for our autonomy systems, with a focus on perception and sensor performance and how those impact the resulting system driving behavior.
• Analyze and triage pipeline results that contribute to key launch blocking metrics for software and system releases.
• Evaluate and characterize the performance of new autonomy sensors and hardware as they are integrated into the Zoox vehicle.
• Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks.
• Develop and refine test methodologies to ensure comprehensive coverage of our autonomy system's operational design domain.
• Communicate test results and analysis to stakeholders, contributing to the overall safety case and fail operational design for our robotaxi.

Qualifications

• B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering, or a relevant technical field
• At least 5 years of experience in systems engineering, verification, and validation, or a related role
• Experience with the development and testing of complex electro-mechanical systems
• Strong systems-level thinking and the ability to understand and navigate complex technical systems
• Ability to grapple with ambiguity and collaborate with cross functional teams
• Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails
• Proficiency with Python and SQL

Bonus Qualifications

• Experience with autonomous vehicles, robotics, or other safety-critical systems.
• Experience with simulation environments and hardware-in-the-loop (HIL) testing.
• Experience with quantitative risk assessments
• Familiar with AB Dynamics test equipment
• Experience with Linux Systems, OxTS
• Familiarity with scala