System Engineer - Automated Manufacturing Lines

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 Manufacturing Automation System Engineer (AE) to develop Innoviz automated assembly lines for mass production.

Responsibilities

• Development of an automated assembly line for Electronical, Optical, and Mechanical parts
• Develop mass production lines layouts, including calculations of cycle times, yields, material transfer and line management
• Selection and management of global sub-contractors with large budget
• Writing the system and machines specifications/requirements (SOW)
• Manage all activities from Proof of Concept through Design Reviews and Acceptance tests
• Work with a cross functional team to gather all the requirements for assembly, traceability, and testability throughout the production
  
  

• Education: BSc. Degree in relevant fields – Optics, Physics, Mechanical or Electrical Engineering
• Minimum 5 years of professional experience as manufacturing automation engineer in an opto-mechanical related products
• Experience in mechanical design for automation
• Excellent understanding of manufacturing processes, including gluing, dispensing, welding, screwing, PnP, active alignment, soldering and sealing
• Experience in the automotive industry and VDA standards
• Experience in vision calibration, including camera to robot calibration methods
• Hands on experience with motion drivers, engines, robotics, conveyors, tray feeders, vision recognition systems, AOI and traceability tools
• Experience with PLC. Robotics programing and communication protocols
• Mechanical design tools - Solidworks
• 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
• Clean room work experience – an advantage
• Experience with multidisciplinary products NPI - an advantage
• Software: Lab View/Python - an advantage
• 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)