Zoox is seeking a Test Engineer to design and develop test solutions for the compute platform powering our autonomous vehicles. In this role, you will create and implement tests for key components of our compute system, including server-grade computer assemblies, custom PCIe devices, and PC components such as storage and memory. You’ll collaborate closely with our electrical engineering and software teams to develop and validate new products and technologies.
We’re looking for an engineer who is curious, enthusiastic, and eager to explore new technologies. The ability to work independently, manage priorities, and meet critical deadlines is highly valued.
In this role you will:
- Build and release test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners
- Develop testing scripts and code to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement
- Work cross-functionally to implement the correct test coverage across all phases of manufacturing (PCBA, module, system, vehicle)
- Release updated test programs for new generations of hardware and software
- Support the test and validation of prototype designs
- Establish best practices and drive continuous improvement for improving test deployment, test runtime, and yield
Qualifications
- BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree
- 8+ years of industry experience or equivalent
- Knowledge of manufacturing and testing electronic assemblies
- Experience in testing of complex electronic assemblies, such as server-grade computers and sub-assemblies
- Experience with manufacturing tests of PCIe devices such as GPUs, network cards, and NVMe drives
- Strong knowledge of Python and shell (bash) scripting. Experience with other programming languages, such as C++ or C#, is beneficial
- Experience with the Linux platform - debugging failures using command line tools
Bonus Qualifications
- MS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree
- Knowledge of automotive protocols such as CAN and hardware interfaces
- Experience with high-speed links such as GMSL
- Strong expertise in PCIe troubleshooting - especially with GPUs and similar electronic assemblies
$187,000 - $225,000 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.
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.
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