Mechanical Engineer- Automated Assembly Processes

Innoviz Technologies LinkedIn

ראש העין

Description

Innoviz is a world-leader cutting-edge LiDAR development company. Our LiDAR enables autonomous driving in the next-generation vehicles of leading companies such as BMW and VW.

The Operations department is responsible for building and operating the HW manufacturing lines. We are looking for a Mechanical Engineer will be responsible for the automated process development of Innoviz’s new generation Lidar. Develop and support our assembly processes, focusing on optics assemblies.

Responsibilities:

Technology and operational transfer of manufacturing processes from R&D to a manufacturing environment
Process development of optics and opt mechanics assemblies for Mass Production in the automotive industry
Lead and manage production process development from design phase – DFM/A, up to implementation in the production line
Process optimization, capacity, and quality improvement (preforming DOE)
Failure analysis
Work with a cross-functional team to identify and resolve customer and field-related issues

Requirements

Education: BSc. Degree in relevant fields – Optics, Physics, Mechanics, or Electrical Engineering
An experienced process engineer with optics assay background and strong mechanical engineering capabilities
Good understanding of manufacturing processes, and experience in the automotive industry – an advantage
Hands-on experience with automation, pick and place machines, dispensers, conveyors, and robotics - an advantage
Working experience in mass production operations - an advantage
Clean room work experience – an advantage
Position responsibilities require project management skills and multi-tasking ability
Experience with multidisciplinary NPI products
Experience in working with vendors and CM’s
Good analytical skills, self-starter with drive, focus, and initiative
Language skills: Good English, both written and verbal
Software: JMP, Minitab, or equivalent
Good communication and interpersonal skills
A real team player able to efficiently work with multi-disciplines across the organization (Production, SC, R&D, QA etc.)