Process Engineer

Description

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
  
  

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

• 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
  
  

• 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
  
  

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