Autonomy System Test Engineer

Remote in Foster City, CA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
USD $143,000.00 - 177,000.00 per year
Fitment

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Job Details

Skills

  • Product Development
  • Management
  • ROOT
  • SAFE
  • Test Plans
  • Reporting
  • Test Strategy
  • Software Development
  • Test Methods
  • Test Scenarios
  • Quality Assurance
  • Functional Testing
  • Testing
  • Computer Science
  • Electrical Engineering
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Automated Testing
  • JIRA
  • Git
  • Linux
  • Command-line Interface
  • Python
  • Scripting
  • Organizational Leadership
  • Communication
  • System Testing
  • ISO 9000
  • Amazon Web Services
  • Health Insurance
  • Insurance
  • Life Insurance
  • Robotics
  • Machine Learning (ML)
  • LinkedIn
  • Innovation
  • Artificial Intelligence
  • Recruiting

Summary

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime.

As an Autonomy Systems Test Engineer at Zoox, you will help accelerate our product development by helping our developers build the safest and most reliable autonomous driving software possible. As developers build new features, you will oversee the development of extensive test plans, develop standardized simulated test design tooling processes to execute many different scenarios and put together triage pipelines for analyzing issues seen during offline and on-vehicle testing. These efforts are critical to exposing unforeseen failure modes, implementation bugs, and other issues as a result of new feature development. You will participate regularly in in-vehicle testing missions where you will see these new features behaving in the real world. Following these missions, you will help triage and root cause issues seen during testing, analyze test results to ensure existing functionality does not regress from release to release, and update our testing processes to ensure QA can continue scaling efficiently with future Zoox milestones. Your ability to distill complex systems and root cause issues will be critical to producing a safe and stable vehicle platform.

In this role, you will:

  • Create test strategies and test plans for Zoox's self-driving behavior features.
  • >
  • Identify, track, report, and resolve test strategy, planning, or implementation issues with cross-functional software development teams
  • >
  • Propose, prototype, and validate a new testing methodology for driving software features using automated metrics.
  • >
  • Design, develop, and execute synthetic and log-based test scenarios on an in-house simulation test framework
  • >
  • Compile triage strategy and triage results from different QA validation platforms and pipelines
  • >
  • Lead cross-functional QA participation in various testing pipelines, initiatives, and enablement projects.
  • >

Qualifications:

  • Bachelor's or Master's in Computer Science, Electrical Engineering, or related field
  • 3+ years of experience in designing and implementing scalable software systems test strategies with excellent analytical, problem-solving, and prioritization skills
  • Proficiency with automated test framework and test automation
  • Experience with JIRA, GIT, Linux command line, Python, or other scripting languages
  • Strong organizational, leadership, and communication skills

Bonus Qualifications:

  • Relevant industry experience in software and systems testing for robotics, autonomous mobility, or safety-critical systems.
  • Familiarity with ISO 26262 or other safety standards
  • Proficiency with Claude Code or other AI coding tools

$143,000 - $177,000 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.

Follow us on LinkedIn

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. 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183258
  • Position Id: a2791f9cd24c3f6ca49c2bdd810be7b
  • Posted 2 hours ago
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