Process Engineer in Image Processing and Vision Systems

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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.