About the role

Zoox

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

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Ready to apply to Zoox?

Apply to Zoox

About the role

In this role, you will:

Qualifications

Bonus Qualifications

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About the role

In this role, you will:

Qualifications

Bonus Qualifications

Similar jobs

Whoa — hold up

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