Industrial Automation System Engineer

Description

Innoviz Technologies is at the forefront of innovation, pioneering advanced LiDAR technology that shapes the future of autonomous vehicles. Our cutting-edge LiDAR systems, trusted by industry leaders like BMW and Volkswagen, are redefining what's possible in automotive technology.

We are looking for an Industrial Automation System Engineer with strong Mechanical engineering background to lead product DFA (Design for Automation/Assembly), lead E2E POC activities, and develop Innoviz automated assembly machines and lines for mass and low production.

Responsibilities:

Lead product DFM/A (Design for Automation/Assembly), based on mechanical drawings and POCs.

• Mechanical drawings review and tolerance stack-up analysis.
• Plan and Conduct POCs for the mechanical assemblies based on the designed JIGs/Machine.
• Work closely with all R&D departments to lead product design changes based on the POCs analysis.
  
  

• Lead the machine architecture design and define requirements (mechanical, electrical, Vision and SW architecture).
• Robotic SW programming (Fanuc/Epson).
• Machine SW integration and testing.
• Integration of the designed setups and tools in production.
  
  

• Education: BSc. Degree in Mechanical Engineering/Biomedical Engineering.
• Minimum 5 years of professional experience as a mechanical engineer in the automation industry.
• Minimum 3 years of professional experience as system engineer in the automation industry.
• Experience using mechanical design tools – Solid works.
• Experience in mechanical design of PnP, Dispensing, Screwing, Laser welding, Soldering machines.
• Experience working with robotic systems such as industrial robots and gantry systems.
• Hands on experience with conducting POCs using JIGs and sensing/measurement equipment.
• Experience in manufacturing process development.
• Good understanding in machine system architecture comprised of Robotic, Vision, SW and mechanical design – An Advantage.
• Good analytical skills, self-starter with drive, focus, and initiative.
• Language skills: Good English, both written and verbal.
• Good communication and interpersonal skills.
• A real team player able to efficiently work with multi disciplines across the organization (Production, R&D, QA etc).