Vision Systems Engineering Leader

Manpower, Inc.; Waukesha (WI); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Relocation available

Hybrid position

Job summary

Manpower, Inc. is seeking a Vision Systems Engineering Leader to guide the Electrical, Software, and Imaging AI teams, modernize legacy inspection lines, and drive a unified product portfolio built on current software and GPU-accelerated AI technologies.

The role requires a strong track record in industrial machine vision, strategic leadership, and the ability to coordinate across engineering and cross-functional groups to deliver high-performance vision solutions.

Qualifications

• Leadership experience in engineering or tech teams.
• Strong communication abilities and collaborative mindset.
• Experience with AI-based defect detection and vision systems.

Responsibilities

• Plan, direct, and oversee the Electrical, Software, and Imaging AI Engineering teams supporting vision product lines.
• Modernize and consolidate legacy inspection product lines into a unified, cutting-edge portfolio.
• Partner with engineering leadership and cross-functional teams to align resources and execute strategic initiatives.
• Lead the development of a technology roadmap, system architecture, and end-to-end system integration including cameras, optics, illumination, and machine controls.
• Drive innovation in AI-based defect detection, classification, and root-cause analysis for various substrates, ensuring high performance and reliability.

Skills

Leadership

Communication

Innovation

Machine vision

AI for defect detection

GPU-accelerated inference

Education

Bachelor's degree in Electrical, Computer, or Software Engineering

Advanced degree preferred

Tools

Cameras

Job description

Our client, a leading organization in the industrial inspection and automation sector, is seeking a Vision Systems Engineering Leader to join their team. As a Vision Systems Engineering Leader, you will be part of the Engineering Department supporting the Vision product lines. The ideal candidate will have strong leadership skills, innovative thinking, and excellent communication abilities, which will align successfully in the organization.

Job Title:Vision Systems Engineering Leader

Pay Range:$150,000 - $200,000 + $16,000 Bonus
**Relocation Available**
**Hybrid position**

What's the Job?

• Plan, direct, and oversee the Electrical, Software, and Imaging AI Engineering teams supporting vision product lines.


• Modernize and consolidate legacy inspection product lines into a unified, cutting-edge product portfolio built on current software and GPU-accelerated AI technology.


• Partner with engineering leadership and cross-functional teams to align resources and execute strategic initiatives.


• Lead the development of a technology roadmap, system architecture, and end-to-end system integration including cameras, optics, illumination, and machine controls.


• Drive innovation in AI-based defect detection, classification, and root-cause analysis for various substrates, ensuring high performance and reliability.

What's Needed?

• Bachelor's Degree in Electrical, Computer, or Software Engineering or a related field; advanced degrees preferred.


• Minimum of 12 years of relevant experience, including at least 5 years leading engineering teams in industrial machine vision or inspection.


• Proven track record in consolidating or re-platforming legacy products onto a unified architecture.


• Expert knowledge of machine vision system design, AI for industrial defect detection, and GPU-accelerated inference technologies.


• Strong leadership, organizational, and communication skills with a results-oriented mindset.

What's in it for me?

• Opportunity to lead innovative projects at the forefront of industrial AI and machine vision technology.


• Competitive salary with a fixed bonus target of $16,000.


• Collaborative work environment that values diversity and inclusion.


• Potential pathway to Director level within 2–3 years, with increased strategic responsibilities.


• Chance to work with cutting-edge hardware, software, and AI solutions in a growing industry.