Job Description

Zoox is on an ambitious journey to develop and safely deploy a full-stack autonomous mobility solution for cities. We are seeking a Senior / Staff Systems V&V Engineer to join the Platform Safety Assurance team within the System Design and Mission Assurance (SDMA) team, applying sound systems and verification engineering to fail-safe and fail-operational behaviors to realize this mission.  At Zoox, we take systems engineering seriously and know that your efforts will be critical for delivering a driverless robotaxi service at scale. In this role, your work will directly impact our fleet’s safety and fail-operational capabilities through your efforts on the compute-platform safety case.

In this role, you will:

• Collaborate closely with system safety, perception, firmware, vehicle controls, and planning engineering teams to understand and review vehicle response strategies for compute platform fault conditions from all potential sources
• Design and direct system-level V&V campaigns, establish novel testing methodologies and metrics to ensure the robotaxi meets end-to-end safety and fail-operational requirements for Zoox milestones including highway-driving 
• Apply expertise in verification and validation to the compute-platform safety case, accelerating new platform development, and establishing robust fail-safe and fail-operational behaviors. 

Qualifications

• BS or higher degree in a relevant technical field, such as Electrical, Computer, or Systems Engineering.
• 8+ years of professional experience. 
• Demonstrated experience in any of the following: verification and validation, functional safety and diagnostics, system and component testing, Hardware-in-the-Loop (HIL) and vehicle testing.
• Proficient in Python for data analysis.
• Basic proficiency with probability and statistics
• Data Analysis and Metrics: Lead data collection and analysis campaigns, defining and validating system performance metrics, driving automation initiatives for analysis and process optimization.

Bonus Qualifications

• Risk and Reliability: Experience with quantitative risk analysis or statistical reliability analysis.
• Fault Protection: Fault protection system design and validation.
• Functional Safety Standards: Familiarity with ISO 26262, ARP 4754, ARP 4761, or IEC 51511.

$198,000 - $272,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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 [email protected] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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