About Us:
BW Converting is a strategic alliance of resources and services that bring together several Barry-Wehmiller companies — Paper Converting Machine Company (PCMC), Winkler + Dünnebier (W+D), STAX Technologies, Hudson-Sharp, Baldwin Technologies and Northern Engraving and Machine. These industry leaders offer trusted brands and innovative technologies in the design, manufacture, and service of high-performance converting and packaging machinery for the tissue, nonwovens, hygiene, bag-converting, mailing, and printing industries.
Job Description:
Senior Leader – Vision Systems Engineering
The Senior Leader – Vision Systems Engineering plans, directs, and oversees the Electrical, Software, and Imaging AI Engineering teams supporting BWCS's Vision product lines. The role's central mandate is to modernize and consolidate several legacy inspection product lines into a single, unified product portfolio, built on a current software stack with GPU-accelerated AI at its core, to deliver the world's leading web inspection systems.
The position partners closely with engineering leadership and cross-functional leaders to align resources and execution with business strategy. It is structured as a development pathway to Director level within 2–3 years, with increasing ownership of strategy, budget, and organizational leadership.
Supervisory Responsibilities
- 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 BW policies and procedures.
Duties and Responsibilities
- 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: 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 disciplined 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 (camera, optics, lighting, GPU compute, AI tooling) for 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; stay current on machine vision and industrial AI trends.
- Perform other duties as assigned.
Required Skills and Abilities
- Strong results orientation with a sense of urgency.
- Proven leadership of multi-disciplinary engineering teams.
- Track record consolidating or re-platforming multiple legacy products onto a common architecture.
- Excellent communication skills, including explaining technical trade-offs to executive and customer audiences.
- Expert knowledge of machine vision system design: cameras, optics, illumination, and industrial interfaces (GigE Vision, CoaXPress, Camera Link, GenICam).
- Proven delivery of web or substrate inspection systems for continuous processes.
- Deep expertise in imaging AI 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 (CUDA, TensorRT, ONNX), plus OpenCV, PyTorch and/or TensorFlow, and YOLO.
- Software knowledge including C, C++, C#, Python, embedded, Windows, Linux, Git/GitHub; experience leading multi-developer projects using AI-assisted development.
- Systems integration experience with PLCs, HMIs, and industrial protocols (e.g., OPC UA, EtherNet/IP, Profinet).
- PCB design, layout, and test experience; Altium preferred.
- Strong organizational, prioritization, and problem-solving skills with a continuous learning mindset.
Education and Experience
- Bachelor's degree in Electrical, Computer, or Software Engineering or related field required; Master's or PhD in Computer Vision, Machine Learning, or Image Processing preferred.
- Minimum of 12 years of relevant experience, including at least 5 years in industrial machine vision or inspection.
- Minimum of 5 years leading engineering teams, with demonstrated readiness for Director level (strategic planning, budget ownership, leading leaders).
- Proven ability to build team-oriented, high-performance environments.
- Knowledge of color theory and color measurement is a plus.
- Ability to travel occasionally, domestically and internationally.
#LI-RA1
At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work—therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process.
Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.
Company:
BW ConvertingSkills Required
- Bachelor's degree in Electrical Engineering, Software Engineering, or related field
- Minimum of 10 years of relevant experience
- Demonstrated leadership and team management experience (recruiting, performance management, onboarding)
- Deep knowledge of electrical and software engineering principles and practices
- Proficiency in C, C++, and C#
- Embedded systems development experience
- Experience with Windows and Linux development environments
- Experience with Git/GitHub
- Vision processing experience (OpenCV, TensorFlow, YOLO)
- Experience leading multi-developer software projects, including AI-assisted development
- PCB design, layout, and test experience
- Altium experience
- Excellent verbal and written communication skills
- Ability to travel occasionally, domestically and internationally
- Proficiency with Microsoft Office Suite or similar tools
- Knowledge of color theory
Barry-Wehmiller Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Barry-Wehmiller and has not been reviewed or approved by Barry-Wehmiller.
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Retirement Support — A 401(k) with immediate vesting and a defined company match is provided, supporting structured long‑term savings. Plan specifics are documented in the current benefits handbook.
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Parental & Family Support — Paid parental leave is available for both birth and secondary caregivers, complemented by family‑building supports such as fertility benefits. Company‑paid disability coverage offers additional income protection around family events.
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Wellbeing & Lifestyle Benefits — A wellness incentive program can significantly reduce medical premiums when requirements are met. Telehealth and second‑opinion services, along with other resources, broaden everyday support.
Barry-Wehmiller Insights
What We Do
We’re Building A Better World. We’re more than just a successful capital equipment and engineering solutions firm. We’re an organization fiercely committed to improving the lives of our team members across the globe. By providing meaningful work in an environment of care and compassion, we send them home fulfilled by their time with us, rather than drained by it. We understand what every human being on the planet desires: to know that who they are and what they do matter. As a business, we have a unique opportunity to let them know that they do. Through our Truly Human Leadership culture and personal growth initiatives, we help them become their best selves. And when we bring out their best, they give their best. To their work, their team members and friends, our customers and suppliers, the people in the communities in which they work and live, and--most important of all--to their families. And before you know it, a better job has helped build a better world!
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