Software Quality Assurance Engineer, Product Software

Zoox

2600

Foster City, CA, United States

Posted on: 2025-03-07

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 QA Engineer on our Product Software Quality Assurance team, you will be at the forefront of driving quality standards for mission-critical vehicle-to-cloud communication systems. In this role, you will work closely with cross-functional teams to design and implement comprehensive testing frameworks, define key quality metrics, and uphold the stringent standards required for safety-critical systems. Your contributions will be pivotal in ensuring the high quality, reliability, and performance of our communication infrastructure, supporting the secure, safe, and efficient operation of our autonomous vehicle fleet.

CompensationThere 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 $135,000 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.

In this role, you will:

Design and implement test plans and procedures for our backend services, which include ride hailing, autonomous charging, cleaning, fleet monitoring, and coordination applications.

Validate and verify the functionality and efficiency of APIs and data models intended for use by rider mobile apps, robots, and fleet management tools, and support the integration of these clients.

Test the vehicle agent component that bridges communication between vehicle components and the backend service to ensure the communication is efficient and robust.

Collaborate with teams of world-class engineers from diverse backgrounds, sharing your knowledge and learning from areas of distributed computing, rider experience, web and mobile applications, autonomous driving, mapping, AI, and software infrastructure.

Lead production bug triaging, root cause analysis, and process improvement, and contribute to developing products that impact humans and their experience in autonomous vehicle rides.

Qualifications:

Master’s or Bachelor’s degree in Computer Science, Information Technology, or a related field, with a minimum of 5 years of hands-on experience in software testing and quality assurance.

Experience testing large-scale, enterprise-level cloud applications across various test types, including functional, integration, regression, and performance testing.

Proven track record in API testing, coupled with advanced debugging skills, including the ability to analyze and interpret backend application logs to identify root causes of issues.

Strong practical experience with industry-standard test management tools such as JIRA, TestRail (or similar), and proficiency in scripting languages (e.g., Python, JavaScript) to automate tests and streamline QA processes.

Bonus Qualifications:

Experience with network protocols and WebSocket communications

Experience with real-time communication systems

Experience with Typescript

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