Senior Leader – Vision Systems Engineering

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. Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

Responsibilities

• Plan, direct, and oversee the Electrical, Software, and Imaging AI Engineering teams supporting BWCS's Vision product lines.
• 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.
• Partner closely with engineering leadership and cross-functional leaders to align resources and execution with business strategy.
• Serve as a development pathway to Director level within 2–3 years, with increasing ownership of strategy, budget, and organizational leadership.
• 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.
• 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,