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. The In-Vehicle Software QA team at Zoox has a critical set of responsibilities, from AI validation to internal tools test automation.
As a Software Development Engineer in Test on our team, you will take a leadership role in driving forward technical advancements in test frameworks and tools. You will implement and develop test automation frameworks, implement new solutions to technical test problems, and build novel tools for our teams to utilize. You will be a force multiplier by mentoring other test engineers and growing their test design and coding capabilities.
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 $165,000 to $211,000. 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:
Design, implement, and maintain the framework that teams across Zoox will use for integration and subsystem testing Design, build, and maintain simulation tools that will be used by other teams at ZooxCollaborate with other QA colleagues and participate in cross-team projects to maintain and improve Zoox cross-functional validation workflows Write automation tests and regularly execute manual tests on Zoox's integrated tooling systemsSupport the users of our tools and framework while continuously refining those systems to enhance overall efficiencyQualifications:
Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field5+ years of experience as a Software Development Engineer in Test with proven skills in writing automation frameworks from scratchExperience building automated mobile app tests using Appium, Espresso, or similar frameworks and automated API tests using PyTest, RestAssured, or similar toolsStrong proficiency with C++ or Python and experience with tools like version control systems like Git, CI/CD pipelinesA self-starter who is capable of defining and implementing new tools and processes from start to finishBonus Qualifications:
Experience in developing and maintaining simulation tools for testing purposesExperience in HIL (Hardware In-the Loop) test automationProficiency in C++ unit test framework