As a Software Quality Assurance 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 develop extensive test plans, design simulated tests to execute many different scenarios, and triage issues seen during 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-vehicle testing missions where you will see these new features behaving in the real world. Following these missions, you will help to triage and root cause issues seen during testing and will help to analyze test results to ensure existing functionality does not regress from release to release. Your ability to distill complex systems and root cause issues will be critical to producing a safe and stable vehicle platform.

Responsibilities

  • Create test strategies and test plans for Zoox’s self-driving behavior features
  • Design, develop and execute synthetic test scenarios on an in-house simulation test framework
  • Identify, track, report and resolve test issues with cross-functional software development teams
  • Maintain high-quality standards for driving software features using metrics and test results

Qualifications

  • Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field
  • 4+ years of software testing experience
  • Proficiency with designing and implementing test strategies that scale across multiple test teams
  • Proficiency with automated test framework and test automation
  • Experience with GIT, command line, bug tracking and reporting tools
  • Proficiency with Python, C++ or other scripting languages 
  • Excellent analytical, problem-solving and prioritization skills
  • Strong organizational and communication skills

Bonus Qualifications

  • Relevant industry experience in robotics or autonomous software testing
  • Experience with a simulation framework
  • Familiarity with ISO 26262 or other safety standards
  • Experience developing integration and test plans and procedures for safety-critical robotic systems and/or autonomous vehicles
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.


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.