Mechanical Automation 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 a Mechanical Automation Engineer 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/setups.

• Product design changes based on the POCs analysis.

• Development of a robotic end of arm tools such as PnP, Screwing, Dispensing, etc.

• Development of an automatic/semi-automatic machines and setups including machine mechanical structure, tools, and interfaces to all machine systems such as conveyors, sensors, electrical and motion systems.

• Development of a mass production JIGs and Pallet common supports.

• Integration of the designed setups and tools in production.

Requirements

• Education: BSc. Degree in Mechanical Engineering.

• Minimum 5 years of professional experience as mechanical engineer in the automation industry.

• Experience using mechanical design tools – Solidworks.

• Experience in mechanical design of PnP, Dispensing, Screwing, Laser welding, Soldering machines.

• Experience working with robotic systems such as industrial robots and gantry systems.

• Experience in mechanical design of automated machines structures.

• 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).