System Verification & Validation Engineer, Platform Safety Assurance

2 Months ago • 7 Years + • Quality Assurance • $166,000 PA - $227,000 PA

Job Summary

Job Description

Zoox is seeking a Senior or Staff Systems V&V Engineer to join their System Design and Mission Assurance team. The role involves applying sound systems and verification engineering to fail-safe and fail-operational behaviors for autonomous mobility solutions. Responsibilities include understanding and reviewing vehicle response strategies for fault conditions, developing and managing test planning and execution for fail-operational responses, and leading cross-functional technical projects. The engineer will also develop metrics, analyze performance of fail-operational responses, lead the development of risk analysis models, and track/report test campaign results for Zoox milestones. This role requires ensuring the robotaxi meets end-to-end safety and fail-operational requirements.
Must have:
  • MS or higher degree in a technical field
  • 7+ years of systems integration and validation experience
  • Proficiency in Python for data analysis
  • Basic proficiency with probability and statistics
  • Experience in data analysis and metrics
Good to have:
  • Experience with quantitative risk analysis
  • Experience with statistical reliability analysis
  • Fault protection system design and validation
  • Familiarity with ISO 26262, ARP 4754, ARP 4761, or IEC 51511
Perks:
  • Paid time off
  • Zoox Stock Appreciation Rights
  • Amazon Restricted Stock Units (RSUs)
  • Health insurance
  • Long-term care insurance
  • Long-term and short-term disability insurance
  • Life insurance

Job Details

Zoox is on an ambitious journey to develop and safely deploy a full-stack autonomous mobility solution for cities. We are seeking a Senior or Staff Systems V&V Engineer that will help Zoox’s System Design and Mission Assurance (SDMA) team to apply sound systems and verification engineering to fail-safe and fail-operational behaviors to realize this mission. You will work with perception, firmware, vehicle controls, and planning engineers to contribute to a wide range of projects that will help ensure the success of Zoox autonomous systems. You are responsible for the verification and validation strategy, test execution and reporting, and ensuring the robotaxi meets the end-to-end safety and fail-operational requirements in line with the goals of Zoox milestones.

In this role you will:

    • Understand and review vehicle response strategies for fault conditions from all potential sources.
    • Develop and manage test planning and execution for fail-operational responses.
    • Lead cross-functional technical projects, including new test methodology development and collaboration with Software, Firmware, HIL Test, and Operations teams.
    • Develop metrics and analyze performance of vehicle fail-operational responses to ensure safety and stability goals have been achieved.
    • Lead the development of risk analysis models to quantify behavioral risk when testing fails.
    • Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone.

Qualifications

    • MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, or Systems Engineering.
    • 7+ years of hands-on systems integration and validation, (bench testing, simulation testing, structured testing, and end-to-end product validation) with a focus on fault protection and delivering complex systems to production.
    • 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.
$166,000 - $227,000 a year
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 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.

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About The Company

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

Foster City, California, United States (On-Site)

Foster City, California, United States (Hybrid)

Foster City, California, United States (On-Site)

Foster City, California, United States (Hybrid)

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Foster City, California, United States (On-Site)

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