Zoox is seeking a highly skilled and experienced Industrial Engineer to join our team. The ideal candidate will have a strong background in automotive logistics, warehouse design, and new product launches. This role plays a key part in designing and executing logistics operations across our manufacturing footprint and distribution centers, with a focus on optimizing material flow and driving operational efficiency.
Our team has a collaborative culture marked by openness and supportive risk-taking. You’ll be part of a passionate team dedicated to making cities safer, smarter, and more sustainable.
In this role, you will:
- Develop and maintain the Plan For Every Part (PFEP) database, ensuring accurate and complete material attributes through consistent stakeholder engagement.
- Ensure SAP material data accuracy and alignment with PFEP planning requirements.
- Design efficient warehouse and lineside layouts that optimize material flow, storage capacity, and operational performance.
- Partner cross-functionally during new product launches to ensure seamless logistics integration, material readiness, and inventory planning.
- Identify and implement process improvements that reduce cost, increase efficiency, and support scalability.
- Support shop floor execution by providing hands-on guidance, training, and problem-solving to drive operational excellence.
Qualifications
- Bachelor’s degree in Industrial Engineering, Logistics, Supply Chain Management, or a related field.
- 3+ years of experience in logistics, industrial engineering, or manufacturing operations.
- Proven experience in warehouse design, material flow analysis, and supporting new product launches.
- Proficiency with industrial engineering tools and methodologies, including lean principles and CAD software (preferably AutoCAD).
- Experience working in ERP systems, ideally SAP.
- Familiarity with PFEP database development and maintenance.
Bonus Qualifications
- Exposure to time studies, process mapping, or simulation tools.
- Automotive, robotics, or advanced manufacturing industry experience.
$136,000 - $171,000 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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