2 months ago
Brookfield, WI, USAMid Level
Responsibilities
- Research, evaluate, and recommend metrology hardware, inspection software, automation tools, AI-enabled solutions, data platforms, and digital reporting technologies.
- Lead feasibility studies, implementation planning, testing criteria, documentation, training, and change management for new metrology applications and workflows.
- Design and implement software-based solutions that improve metrology data flow, reporting speed, traceability, usability, and enterprise-system integration.
- Develop scripts, tools, automated workflows, low-code solutions, AI agents, bots, dashboards, and templates for data extraction, transformation, reporting, and performance tracking.
- Serve as the primary technical link between Metrology Engineering and IT for software tools, system integrations, database connectivity, permissions, cybersecurity, licensing, file architecture, and digital infrastructure.
- Translate metrology, quality, manufacturing, and engineering needs into business and technical requirements.
- Standardize metrology software workflows, naming structures, file organization, data storage, reporting practices, and digital lifecycle controls.
- Support continuous improvement, user adoption, best-practice sharing, and scalable solutions across laboratories, suppliers, and manufacturing environments.
Requirements
- Bachelor’s degree in engineering, computer science, data analytics, manufacturing engineering, mechanical engineering, industrial technology, quality, or a related technical field, or equivalent relevant experience.
- At least 3 years of experience in metrology, quality engineering, manufacturing engineering, inspection technology, software applications, data analytics, automation, systems integration, technical support, or related technical work.
- Exposure to systems such as CMMs, vision systems, optical scanners, laser scanners, CT/X-ray, gages, test equipment, or CAD-based inspection technologies.
- Hands-on experience with data handling, reporting, automation, scripting, programming, dashboards, databases, or workflow tools in a technical environment.
- Working knowledge of one or more of Python, VBA, SQL, Excel automation, SharePoint, Power BI, Power Automate, APIs, database tools, or reporting platforms.
- Ability to understand technical workflows, structure data, document processes, troubleshoot issues, and communicate with technical and non-technical users.
- Preferred experience with PC-DMIS, PolyWorks, Zeiss Inspect, Calypso, Geomagic, DataLoop, data integrations, AI-enabled tools, low-code automation, CAD-based inspection, GD&T, measurement validation, MSA, Gage R&R, capability studies, or quality management systems.
