Manager, Systems Verification & Validation, Platform Safety Assurance

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Overview

Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe to be deployed for autonomous driving.

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Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe to be deployed for autonomous driving. The SDMA Platform Safety Assurance team enables Zoox to rapidly iterate and safely expand capabilities through trustworthy, innovative, and pragmatic safety engineering.

As a manager of systems verification and validation engineers at Zoox, you will be leading a team that works cross-functionally with requirements definition, vehicle engineering, and firmware development teams to build an integrated platform that is the foundation for safe autonomous driving. The team primarily develops and executes automated system HIL tests. You are responsible for the verification and validation strategy, test execution and reporting, and ensuring the Zoox Robots meet end-to-end safety and performance requirements in line with the goals of Zoox milestones.

Lead, manage, and grow a team of Systems Verification Engineers who have expertise on the robot platform safety case and HIL testing.

Design effective and efficient test programs to achieve test coverage and full system validation of safety requirements and scenarios, drawing on analysis, simulation, Hardware in the Loop (HIL) testing, and vehicle testing.

Analyze system safety requirements to understand the safety concept and define test methodology, providing feedback on testability.

Design, develop, and operate test equipment and test automation infrastructure.

Develop and execute the technical and logistical planning of tests including cross-functional coordination with other teams: systems engineering, firmware, vehicle engineering, operations, software HIL, AI software, and program management.

Participate in change control board reviews of hardware and software changes to evaluate safety impact.

B.S. or higher in Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Engineering, Computer Science or a related technical degree

At least 7 years of relevant professional experiences in the fields of Systems Verification and Validation of electro-mechanical systems, including a minimum of 2 years managing a team

Possesses excellent EQ with an empathetic communication style that fosters connection, collaboration and motivation

Strong written and in-person communication skills

Experience with automated testing

Experience testing safety critical systems

Experience with fault injection testing

Experience with an autonomous vehicle development company, an automotive company, robotics technology company, or their suppliers

Experience with Python testing frameworks (pytest, robot, etc.)

Experience with the incorporation of AI technology into end-to-end test automation frameworks to improve efficiency and productivity

Experience with functional safety standards such as ISO 26262, ARP 4754, ARP 4761, or IEC 51511

Familiar with automotive communication protocols and tools: Ethernet, CAN, LIN