Lead Vision Engineer — Machine Vision & Automation

Bosch; Charleston (SC); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive Salary

PTO 16 days (up to 30 with seniority)

Personal Days 5 days

Company Holidays 9 days

401k match up to 9%

Profit Sharing Bonus 10%

Medical, dental, and vision coverage

Onsite Cafeteria

Onsite Starbucks Cafe

Onsite Bosch Store (Employee Discount)

Job summary

Bosch Charleston is seeking a Vision Engineer to lead and optimize machine vision systems across manufacturing processes. You will drive inspection performance, ensure system availability, and support PPAP activities while coordinating with Quality, Maintenance, and Engineering teams.

The role requires a bachelor’s degree in a related field, hands-on experience with vision hardware and software, and strong analytical and project management skills.

Qualifications

• Bachelor's degree in Manufacturing, Industrial, Mechanical, Electrical, Mechatronics, Automation Engineering, or a related technical field.
• Experience in a manufacturing environment, preferably with machine vision, automation, or inspection systems.
• Knowledge of PPAP, PFMEA, Control Plans, MSA, SPC, and validation processes.
• Strong analytical, troubleshooting, and problem-solving skills (Root Cause Analysis, 8D).
• Experience leading equipment implementation and production launch activities.
• Ability to work in a fast-paced environment and manage multiple priorities.
• Strong interpersonal, communication, and project management skills.

Responsibilities

• Lead vision system performance to achieve business targets by ensuring inspection capability, system availability, quality performance, defect detection effectiveness, IDC reduction, and manufacturing OEE.
• Manage and sustain daily vision operations by monitoring system capability, validating inspection performance, supporting PPAP activities, conducting MSA studies, controlling recipes and standards, and ensuring all vision processes remain stable, capable, and compliant with customer requirements.
• Develop, implement, and optimize machine vision solutions including cameras, optics, lighting, sensors, image processing software, and automated inspection systems to support manufacturing and quality objectives.
• Lead vision-related activities for new product launches and project development, including concept creation, equipment specification, supplier coordination, pre-acceptance, final acceptance, validation, commissioning, and production launch support.
• Create, maintain, and standardize technical documentation and manufacturing quality systems, including work instructions, control plans, PFMEA, validation protocols, troubleshooting guides, best practices, and global vision standards.
• Drive continuous improvement initiatives focused on safety, quality, delivery, cost, and productivity through vision technology enhancements, automation, data analysis, Lean Manufacturing, and Bosch Production System (BPS) methodologies.
• Lead problem-solving and customer quality activities by investigating vision-related failures, performing Root Cause Analysis, supporting audits, leading 8D activities, and implementing effective corrective and preventive actions.
• Collaborate with cross-functional teams including Manufacturing, Quality, Maintenance, Product Engineering, and external suppliers to ensure vision systems meet safety, regulatory, customer, and operational requirements while supporting manufacturing excellence.

Skills

Machine vision

Data analysis

Root Cause Analysis

Project management

Cross-functional collaboration

Education

Bachelor's degree in Manufacturing, Industrial, Mechanical, Electrical, Mechatronics, Automation Engineering, or related field

Tools

PPAP

PFMEA

Control Plans

MSA

SPC

Job description

Bosch Charleston is seeking a Vision Engineer to lead and optimize machine vision systems across manufacturing processes. You will drive inspection performance, ensure system availability, and support PPAP activities while coordinating with Quality, Maintenance, and Engineering teams.

The role requires a bachelor’s degree in a related field, hands-on experience with vision hardware and software, and strong analytical and project management skills.