Process Engineer

Innoviz Technologies is driving the future of autonomous vehicles with its state-of-the-art LiDAR technology. Our innovative systems, trusted by automotive giants such as BMW and Volkswagen, are revolutionizing the industry and setting new standards in automotive technology.

We are looking for a hands-on Process Engineer to lead manufacturing process development, optimization, and reliability improvement for advanced LiDAR systems.

This role focuses on scaling high-precision opto-mechanical assemblies from RnD to NPI to Mass production while ensuring quality, stability, and automotive compliance.

You will work closely with R&D, Mechanics, Quality, Supply Chain, and Production teams to drive process robustness and yield improvement.

What You’ll Do

Develop, validate, and optimize manufacturing processes for opto-mechanical assemblies
Lead NPI transition from development to production (DFM / DFT support)
Define and implement PFMEA, Control Plans, SOPs, and Work Instructions
Perform process capability analysis (Cp/Cpk), SPC, and GR&R studies
Conduct root cause investigations (8D, 5 Why, Fishbone)
Drive yield improvement and scrap reduction initiatives
Lead DOE activities for process window optimization
Support automation integration and equipment qualification
Improve cycle time and line balancing
Work with CM’s and suppliers to ensure process stability and automotive compliance

Requirements:

B.Sc. in Materials, Chemical, Mechanical Engineering or Optics
5–7 years of experience as a Process Engineer in a manufacturing environment – Must

Proven hands-on experience with automated opto-mechanical assembly processes, including:

Pick-and-place of optical components
Automated adhesive dispensing and curing systems
PnP machines (e.g., BESI / Datacon platforms)
Sealing, precision screwing, and miniature welding processes

Strong experience with:

SPC and statistical analysis
Process validation methodologies
Failure analysis and root cause
Automotive or high-reliability standards (IATF 16949 – advantage)
Experience in precision assembly, adhesives, optics, or electromechanical systems, welding, soldering – advantage
Hands-on mindset with strong data analysis capability
Excellent cross-functional communication skills
Mass-production and Clean room manufacturing experience

Nice to Have

Knowledge of reliability testing (thermal cycling, humidity, vibration)
Familiarity with JMP / advanced Excel / SolidWorks

Sub Department:
Process Engineering

City:
Rosh Ha‘Ayin