Process Engineer in Image Processing and Vision Systems

• •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

• •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