Manufacturing Quality Supervisor

The role

You will lead quality control for the camera, LiDAR, sensor pod and primary compute production line. You will supervise and develop a team of quality employees, analyze quality KPIs and drive process improvements.

What you will do

• Supervise, mentor and coach assigned employees to meet quality and production goals
• Supervise compliance of product movement, physical and virtual, through the production area
• Handle personnel tasks for quality staff: hiring, training and performance evaluations
• Plan and organize work so delivery deadlines are met
• Act as Data Steward for Manufacturing Quality on serialized production
• Work with Operations, Logistics, Supplier Quality, Engineering and Manufacturing to keep ERP transactions, documentation and quality records accurate and compliant
• Analyze and report Quality KPIs
• Partner with the Manufacturing System Data team to resolve ERP issues and improve processes

Required qualifications

• High school diploma or equivalent
• At least 5 years of progressive QA experience in a fully or semi-automated serialized production environment of complex electro-mechanical assemblies (Aerospace, Automotive, Medical Device or Robotic
• At least 3 years of managing employees (full-time employees or contract workers)
• Super user level proficiency with quality control tools, SAP/Oracle ERP software and MS Office/Google Suite
• Strong leadership, organizational and team management skills with excellent verbal and written communication
• Excellent analytical and problem-solving abilities, with the ability to handle tight deadlines and competing demands

Nice to have

• Associate's or bachelor's degree in STEM
• Experience in LiDAR or camera, sensor and computer assembly, testing and troubleshooting
• Working knowledge of ISO 9001, IATF 16949 and ISO 13485 standards

Before you apply

• You do not need to match every listed expectation to apply

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the ecosystem needed to bring it to market. It works at the intersection of robotics, machine learning and design to build next-generation mobility-as-a-service in urban environments.