Software Quality Assurance Engineer

Number of employees

2600

Foster City, CA, United States

Posted on: 2024-05-23

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

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.


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 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.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $114,000 to $180,000. A sign-on bonus may be offered as part of the compensation package. 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.

In this role, you will:

  • Create, execute, and maintain comprehensive system test plans that exercise Zoox’s high-performance service delivery applications and components
  • Strategize and plan large-scale testing programs involving cross-functional teams
  • Design, implement, and maintain test environments, tools, and assets for production-level validation of service components
  • Track, report, and prioritize defects using our defect tracking system, and follow through on their resolution
  • Test, troubleshoot, and root-cause full stack components that span from the hardware/firmware level to the user interface
  • Instrument quality standards and drive high-quality bars for development and quality teams
  • Qualifications:

  • Bachelor's degree in Computer Science or related quantitative field and 3+ years of experience
  • Strong knowledge of QA methodologies with experience writing scripts to exercise workflows
  • Strong debugging and analytical skills. Experience working with logs and tools to triage issues and working with large and complex systems
  • Experience with tools for test management, bug tracking, and monitoring
  • Ability to work in a collaborative environment with cross-functional teams, utilizing strong communication skills to report findings, impact, and priority
  • Bonus Qualifications:

  • Domain knowledge in the Autonomous Vehicle industry 
  • Understanding of software-firmware interaction
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