Manager, System Safety (Service and Operations Verification and Validation)

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.

In this role, you will:

• Define and lead the verification and validation strategy for our remote assistance system and cloud based product software, ensuring robust and safe, and reliable performance

- Lead a team responsible for the end-to-end verification and validation of safety-critical product software

- Lead root-cause analysis for complex service issues and drive strategic improvements to our Verification and Validation (VnV) coverage

- Develop and oversee the execution of validation strategies for complex and critical safety scenarios encountered during autonomous operation

- Own the execution and success of large-scale validation campaigns to demonstrate the safety and performance of the autonomous driving system against rigorous, top-level safety requirements

- Influence the direction of our testing efforts in cross-organizational technical and architectural reviews

- Build, lead, and mentor a high-performing team of systems safety engineers, fostering their technical and professional growth

Qualifications

- Advanced degree (M.S. or Ph.D.) in an engineering or science discipline

- At least 10 years of experience in systems engineering, verification and validation, or safety-critical product development

- At least 4 years of direct people management experience, leading and developing engineering teams

- Proven experience leading the verification and validation of complex, software-intensive systems (e.g., robotics, aerospace, automotive)

- Proven track record of designing and executing human factors studies for complex, safety-critical human-machine interfaces

Bonus Qualifications

- Direct experience with the public road deployment and safety case development for Level 4/5 autonomous vehicles

- Experience with simulation-based testing methodologies and large-scale safety data analysis

- Demonstrated ability to thrive in a fast-paced, ambiguous environment and lead teams through complex technical challenges

- Familiarity with VnV development plan against requirements derived from STPA, FMEA, etc

- Expertise in the application of safety standards such as ISO 26262 and SOTIF (ISO 21448) in a product development environment

- Deep proficiency in Python and SQL for test scripting, data analysis, and automation