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Barry-Wehmiller

Capital equipment and engineering solutions provider

Senior Leader - Vision Systems Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeWaukesha, WI, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Electrical, Computer, or Software Engineering or a related field is required.
  • A minimum of 12 years of relevant experience, including at least 5 years in industrial machine vision or inspection, is required.
  • A minimum of 5 years leading engineering teams is required, with demonstrated readiness for Director-level strategic planning, budget ownership, and leadership of leaders.
  • Proven leadership of multidisciplinary engineering teams.
  • A track record consolidating or re-platforming multiple legacy products onto a common architecture.
  • Expert knowledge of machine vision system design, including cameras, optics, illumination, and industrial interfaces such as GigE Vision, CoaXPress, Camera Link, and GenICam.
  • Proven delivery of web or substrate inspection systems for continuous processes.
  • Deep expertise in imaging artificial intelligence for industrial defect detection, including detection, segmentation, and anomaly-detection models for limited-defect datasets.
  • Hands-on experience with GPU-accelerated inference at production line speeds using CUDA, TensorRT, and ONNX, plus OpenCV, PyTorch and/or TensorFlow, and YOLO.
  • Software knowledge including C, C++, C#, Python, embedded systems, Windows, Linux, Git, and GitHub, with experience leading multi-developer projects using AI-assisted development.
  • Systems integration experience with PLCs, HMIs, and industrial protocols such as OPC UA, EtherNet/IP, and Profinet.
  • PCB design, layout, and testing experience.
  • Ability to build team-oriented, high-performance environments.
  • Ability to travel occasionally, domestically and internationally.

Responsibilities

  • Plan, direct, and oversee the Electrical, Software, and Imaging AI Engineering teams supporting the vision product lines.
  • Recruit, hire, onboard, and develop engineering staff across hardware, software, and imaging AI disciplines.
  • Build the next layer of technical leads and people managers.
  • Manage team workload, priorities, and engineering backlogs.
  • Provide timely, constructive performance evaluations and ensure compliance with company policies and procedures.
  • Lead the consolidation of legacy vision product lines into a unified platform architecture, defining a common hardware, software, and AI foundation and a phased migration plan for the installed base.
  • Drive adoption of a modern software stack and GPU-driven AI model integration across the portfolio, replacing fragmented legacy codebases and rule-based inspection.
  • Own the technology roadmap and end-to-end system architecture covering line-scan and area-scan cameras, optics, illumination, acquisition, compute, and integration with machine controls.
  • Direct development of AI-based defect detection, classification, and root-cause identification on films, nonwovens, paper, and printed substrates.
  • Establish processes for image data collection, labeling, model training, validation, deployment, and field-performance monitoring.
  • Partner with Product and Project Management to prioritize work, allocate resources, and support cost analysis, resource planning, and schedules.
  • Ensure delivery within budget and against monthly financial and operational commitments.
  • Lead design reviews across vision hardware, software, and AI model development.
  • Manage design partners and vendors for cameras, optics, lighting, GPU compute, and AI tooling, including roadmap execution, obsolescence management, and order fulfillment.
  • Establish engineering standards, security practices, and development processes across the unified portfolio.
  • Partner with manufacturing, supply chain, and field service to support customer satisfaction and installed-base migration.
  • Provide technical expertise to executive leadership and customers, and stay current on machine vision and industrial AI trends.
  • Perform other duties as assigned.

Desired Qualifications

  • A master's or PhD in Computer Vision, Machine Learning, or Image Processing is preferred.
  • Experience with Altium is preferred.
  • Knowledge of color theory and color measurement is a plus.

About the Company

Barry-Wehmiller

Capital equipment and engineering solutions provider

Barry-Wehmiller provides capital equipment and engineering solutions for manufacturing, helping clients improve operations through design, integration, and installation of machinery and systems. Their products and services cover the lifecycle of capital equipment for manufacturing, from concept through delivery and support. The company differentiates itself with a people-first culture called Truly Human Leadership, focusing on the growth and well-being of team members, which they say leads to better performance and better outcomes for customers and communities. Its goal is to build a better world by developing people and delivering reliable solutions that positively impact the lives of employees, customers, suppliers, and communities.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
St. Louis, MO
Founded
1885

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