Process Engineer in Image Processing and Vision Systems

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

This posting is for a process engineer / expert in image processing and vision systems. Responsible for optimizing and troubleshooting automated image processing processes, focusing on quality control while reducing cycle times and improving manufacturing yields.

• Process owner and technical expert for existing image processing and vision systems (i.e. Cognex, Halcon, NeuroCheck, Keyence) within the plant and as a member of the Bosch Center of Competency and the International Production Network
• Specifying, validating, debugging and improving machine vision systems, sensors, cameras and lighting setups for automated assembly defect inspection
• Utilize data driven methods to resolve complex production issues, resolve bottlenecks, reduce false reject rates and maximize overall equipment effectiveness
• Lead development and implementation of new processes, new technologies, equipment upgrades and projects to reduce cycle time and improve manufacturing yields
• Define, document and manage critical process parameters and vision system programs
• Collaborate with internal and external partners (process development, quality, suppliers, production, logistics, quality) for process and equipment optimizations
• Communication and participation with lead plants and expert teams on latest technologies and process improvements
• Project management and ability to lead teams
• Mentor and train associates in all facets of vision system processes
  
  

Qualifications

The qualified applicant must:

• Have a Bachelor of Science Degree in Engineering (or similar field)
• Be a self-starter and innately curious, with the ability and willingness to dive into and lead development of technical processes
• Have minimum three years' experience in automated, industrial manufacturing
• Have experience with image processing, vision systems and creating vision system programs
• Be comfortable with cross functional activities and international teams
• Be structured and systematic in his / her / their work approach, willing to adapt to dynamic changes and multi-tasking
• Be willing and able to travel internationally
• Communicate effectively at all levels of the organization
  
  

Strong augmentation of the candidate profile would include experience with:

• Vision systems, lighting, cameras and sensors
• Equipment maintenance and management (PM, TPM)
• PLC programming, industrial control technologies
• Problem solving methodology and root cause analysis (8D, 5-Why, Shainin or Six Sigma)
• Quality management systems
• Strong documentation skills
• German or English language background
• Machine vision principles including optics, image acquisition, camera calibration, lighting techniques, OCR/OCV, pattern matching, and image processing algorithms
• Selecting and configuring industrial cameras, lenses, filters, lighting systems, and image acquisition hardware
• 3D vision technologies, laser profiling, structured light systems, or robotic guidance applications is preferred
• Integrating vision systems with industrial robots for inspection, positioning, or guidance applications
• Industrial networks, sensors, I/O systems, and machine controls architecture
• SPC methodologies and interpreting Cp/Cpk studies to establish and maintain process capability
• Conducting Measurement Systems Analysis (MSA), Gauge R&R studies and process validation activities
• Experience utilizing data analysis tools such as Python, SQL Minitab, JMP, Power BI or equivalent to identify process trends and optimize vision system performance
• Software development or scripting languages (Python, C#, C , VB.NET) is desirable
  
  

Additional Information

All your information will be kept confidential according to EEO guidelines.