Feature Validation Engineer

1 Year ago • All levels • Quality Assurance • $137,000 PA - $164,000 PA

Job Summary

Job Description

Zoox is seeking a vehicle verification and validation engineer for its robot platform. The role involves validating new functions of Zoox’s autonomous vehicle, developing, validating, and improving the robot’s features and capabilities to achieve production readiness. The engineer will collaborate with cross-functional teams, hold them accountable for meeting requirements, and investigate issues found during testing. Responsibilities include developing and executing vehicle-level test cases, documenting validation results, leading cross-functional validation efforts, establishing regression testing suites, reporting feature validation metrics, and supporting homologation test case creation. The ideal candidate is passionate about vehicle feature integration and possesses excellent problem-solving skills.
Must have:
  • Develop, maintain, and execute vehicle-level test cases
  • Conduct and document validation test results
  • Lead investigation of identified issues
  • Lead and track cross-functional validation efforts
  • Identify and establish regression testing suite
  • Report metrics for feature validation
  • Support homologation test case creation and validation
  • BS in Engineering
  • Experience writing test cases and reports
  • Experience testing vehicle systems
  • Experience managing test assets
  • Knowledge of vehicle engineering or software validation
  • Familiarity with CAN networks and vehicle system architecture
Good to have:
  • Working knowledge of requirements management tools (Polarion, JIRA)
  • Experience diagnosing issues on CAN and LIN
  • Familiarity with LINUX and Python
  • Knowledge of vehicle motion control systems
Perks:
  • Paid time off (sick leave, vacation, bereavement)
  • Unpaid 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 seeking a vehicle verification and validation engineer for the features on our robot platform. In this role, you will be responsible for validating new functions of Zoox’s ground-up autonomous vehicle. You will be part of a team that develops, validates, and continuously improves the robot’s features and capabilities to achieve production readiness. You will collaborate with cross-functional teams and hold yourself, teammates, and the larger organization accountable for meeting requirements. We are looking for an engineer who is passionate about vehicle feature integration and has excellent problem-solving skills.
 
This position is within the Vehicle Development organization, leading verification and validation activities for vehicle-level feature integration testing to support the Zoox mission. 
 

In this role, you will:

    • Develop, maintain, and execute vehicle-level test cases for both robot and customer-centric features
    • Conduct and document all validation test results in written form
    • Lead the investigation of issues identified during testing
    • Lead and track cross-functional validation efforts to ensure high success for the first through vehicle-level validation
    • Identify and establish a regression testing suite and cadence for applicable features
    • Rport out of metrics for feature validation
    • Support homologation test case creation and validation

Qualifications

    • BS in Engineering
    • Experience writing test cases and test reports for feature or vehicle requirements
    • Experience testing vehicle systems (electrical, mechanical, HMI, dynamic, quasi-static, inspection)
    • Experience managing test assets
    • Knowledge of vehicle engineering or software validation process
    • Familiarity with CAN networks and vehicle system architecture

Bonus Qualifications

    • Working knowledge of requirements management tools (Polarion, JIRA)
    • Experience diagnosing issues on CAN and LIN
    • Familiarity with LINUX and Python
    • Knowledge of vehicle motion control systems (brakes, suspension, etc)

$137,000 - $164,000 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 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.

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