Software Quality Engineer Jobs at Zoox with Visa Sponsorship

INTRODUCTION

The Manufacturing Process Quality Engineer will ensure that all processes that are conducted as part of the assembly, bring-up, and End-of-Line (EOL) testing of our vehicles will meet the high-quality standard of Zoox. This includes the development and implementation of In-Line and End-of-Line quality checks, as well as driving the root cause resolution of any issues that occur during the manufacturing process. As part of a daily routine, the Manufacturing Process Quality Engineer will interact with many different parties, including Corporate Quality, Vehicle Engineering, Supplier Quality, and Software.

ROLE AND RESPONSIBILITIES

In This Role, You Will

- Develop and integrate quality and functional checks into the manufacturing process
- Conduct root-cause analysis for any assembly-related issues, create and maintain PFMEAs
- Develop, implement, and optimize the End-of-Line process; including analysis of quality data to improve the assembly and test process
- Develop and Implement control plans
- Work cross-functionally to help resolve supplier quality or design-related issues that occurred during the manufacturing process
- Create the procedures, instructions, and processes that will allow Zoox to align with the international standards for Quality Systems (IATF 16949, ISO 9000, and similar). Additionally, you will contribute to the definition and improvement of Zoox Quality Policy and Manual.

BASIC QUALIFICATIONS

- Engineering Degree in relevant field (Manufacturing, Electrical, Mechanical, Industrial)
- Minimum 10 years of experience in quality/manufacturing engineering
- Experience with creating FMEA process / Control Plan / APQP
- Able to work fully independent with minimal supervision

PREFERRED QUALIFICATIONS

- Automotive OEM or Tier 1 supplier experience
- Process Improvement certification (Lean Six Sigma / Red X - Shainin)
- CATIA V5/V6 experience

COMPENSATION

- Base Salary Range: $193,000 - $233,000 a year

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.