Systems Engineer, Autonomy Verification and Validation

United States·Foster CityFull-timemid

Systems EngineerInfrastructure & Cloud

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Overview

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution.

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Systems EngineerInfrastructure & Cloud

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.

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.

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

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