Senior Manufacturing Process Engineer

The General Assembly (GA) Process Engineer is responsible for designing, optimizing, and maintaining the assembly sequences and manufacturing processes for Zoox's autonomous robots. This role serves as the bridge between R&D and high-volume production. Beyond technical process design, you will collaborate cross-functionally with Hardware Engineering, Supply Chain, and Quality teams to troubleshoot assembly bottlenecks and drive the evolution of our current and future vehicle platforms in a fast-paced , innovative environment.


In this role, you will

• Develop assembly sequences and layout detailed process steps.
• Execute line balancing studies to achieve production targets and optimize station cycle times.
• Manage and perform engineering line trials to ensure rapid implementation with minimal disruption to the assembly line.
• Provide critical feedback during design reviews for future programs to improve manufacturability, tool access, and ergonomics.
• Act as a primary point of contact for troubleshooting complex design, process, and quality issues on the line.
• Develop and maintain 100% accurate step-by-step assembly guides for all stations using tools like Dozuki/Oxygen
• Act as a technical leader, sharing knowledge and guiding junior engineers through complex technical challenges.

Qualifications

• Education: Bachelor's or Master's degree in an engineering discipline (Mechanical, Automotive, or Aerospace preferred).
• Experience: 8+ years of experience in manufacturing operations or automotive OEM environments, with a proven track record leading technical projects at a Senior or Staff Engineer level.
• Technical Expertise:
  
  • Proficiency in 3DX/CATIA/Delmia for virtual builds and process planning.
  • Line Balancing experience
  • Deep understanding of GD&T, dimensional variance analysis, and metrology.
  • Familiarity with torque tools (Atlas Copco) and fastening processes.
  • Experience with Closures Systems (ie Doors, Glazings, and Dynamic Sealing Systems)
• Methodologies: Knowledge of Lean Manufacturing, PFMEA, 8D Problem Solving, and MODAPTS
• Certifications: Six Sigma Black Belt or Green Belt Certification

$178,000 - $214,000 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.

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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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.