Process Engineer in Image Processing and Vision Systems

Bosch Group•Charleston, SC

23h

About The Position

Bosch is seeking a process engineer and technical expert in image processing and vision systems to optimize and troubleshoot automated processes in a manufacturing plant. The role focuses on quality control, reducing cycle times, and improving manufacturing yields. The position owns existing plant vision systems, including Cognex, Halcon, NeuroCheck, and Keyence, and also contributes to the Bosch Center of Competency and International Production Network. The engineer specifies, validates, debugs, and improves machine vision systems, sensors, cameras, and lighting for automated assembly defect inspection. Using data-driven methods, the role addresses complex production issues, bottlenecks, and false rejects, while improving overall equipment effectiveness. It also leads process and technology development, equipment upgrades, and improvement projects; manages critical process parameters and vision system programs; collaborates with internal and external partners; communicates with lead plants and expert teams; and mentors and trains associates. The qualified applicant must have a Bachelor of Science degree in Engineering or a similar field, at least three years of experience in automated industrial manufacturing, and experience with image processing, vision systems, and creating vision system programs. The role requires effective communication, a structured and adaptable work approach, comfort with cross-functional and international teams, and willingness and ability to travel internationally. Bosch offers competitive compensation and benefits, including paid time off and holidays, parental leave, retirement benefits, profit-sharing bonus, medical, dental, and vision coverage, onsite amenities, and employee discounts. Applicants must be indefinitely authorized to work in the U.S.; future work authorization sponsorship is unavailable.

Requirements

Bachelor of Science degree in Engineering or a similar field.
At least three years of experience in automated industrial manufacturing.
Experience with image processing, vision systems, and creating vision system programs.
Self-starter who is curious and willing and able to lead development of technical processes.
Comfort with cross-functional activities and international teams.
Structured and systematic work approach, with willingness to adapt to dynamic changes and multitask.
Willingness and ability to travel internationally.
Ability to communicate effectively at all levels of the organization.

Nice To Haves

Experience with vision systems, lighting, cameras, and sensors.
Experience with equipment maintenance and management, including PM and TPM.
PLC programming and industrial control technologies.
Problem-solving methodologies and root cause analysis, such as 8D, 5-Why, Shainin, or Six Sigma.
Quality management systems and strong documentation skills.
German or English language background.
Knowledge of machine vision principles, including optics, image acquisition, camera calibration, lighting techniques, OCR/OCV, pattern matching, and image processing algorithms.
Experience selecting and configuring industrial cameras, lenses, filters, lighting systems, and image acquisition hardware.
Experience with 3D vision technologies, laser profiling, structured light systems, or robotic guidance applications.
Experience integrating vision systems with industrial robots for inspection, positioning, or guidance applications.
Knowledge of industrial networks, sensors, I/O systems, and machine controls architecture.
Knowledge of SPC methodologies and interpreting Cp/Cpk studies to establish and maintain process capability.
Experience conducting Measurement Systems Analysis (MSA), Gauge R&R studies, and process validation activities.
Experience using 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 language experience, such as Python, C#, C++, or VB.NET.

Responsibilities

Own existing image processing and vision systems within the plant and serve as a technical expert, including as a member of the Bosch Center of Competency and International Production Network.
Specify, validate, debug, and improve machine vision systems, sensors, cameras, and lighting setups for automated assembly defect inspection.
Use data-driven methods to resolve complex production issues, address bottlenecks, reduce false reject rates, and maximize overall equipment effectiveness.
Lead development and implementation of new processes, 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, including process development, quality, suppliers, production, and logistics, on process and equipment optimizations.
Communicate and participate with lead plants and expert teams on technology and process improvements.
Manage projects and lead teams.
Mentor and train associates in vision system processes.

Benefits

Competitive salary.
Competitive time away from work policy.
Paid time off: 16 days, up to 30 days based on seniority.
Five personal days.
Nine company-paid holidays.
Six weeks of paid parental leave.
Industry-best retirement benefit.
401(k) with a 75% match up to the first 9% contribution.
Bosch Defined Contribution plan with 100% company-funded 401(k) contributions ranging from 2.5% to 6.5% of pay.
Student debt retirement savings match.
Profit-sharing bonus up to 10%.
Medical coverage.
Dental coverage.
Vision coverage.
Onsite cafeteria.
Onsite Starbucks cafe.
Onsite Bosch Store employee discount.
Life and disability protection.
Resources for financial planning and goal setting.