Join our Advanced Manufacturing Engineering (AME) Industry 4.0 team as a Principal Advanced Manufacturing Engineer - Test, where you'll help shape the future of automated test technologies across our manufacturing network. This team owns the engineering standards for electrical, automation, robotics, and test systems company-wide. Within it, the Test Systems group leads the creation and deployment of automated solutions that ensure product quality for New Product Introduction (NPI) and Run-the-Plant (RTP) initiatives-driving productivity, innovation, and cost efficiency. Position Principal Advanced Manufacturing Engineer- Test Location USA, Louisville, KY How You'll Create Possibilities • Lead the planning, design, specification, and implementation of advanced electrical, instrumentation, and test systems used in manufacturing and laboratory environments. • Serve as the connection point between equipment project teams and test platform developers-ensuring clear communication, accurate requirements, and effective deployment of new capabilities • Introduce and scale technologies that transform equipment and product verification data into actionable insights for operations and quality teams. • Assess sensor technologies and test methods to ensure reliable process capability and compliance with quality requirements, while proposing new approaches when needed. • Partner with product design teams to integrate Design for Manufacturing & Assembly (DFMA) and Design for Testability (DFT) into part development. • Evaluate competing technologies and identify the best solution aligned with performance, cost, and application needs. • Provide technical leadership, mentorship, and training to junior engineers and cross-functional partners, especially in equipment design, testing strategies, and component selection. What You'll Bring to Our Team Qualifications / Requirements: • Bachelor of Science Degree in Electrical Engineering or Computer Engineering • 7+ years hands on & relevant test or controls engineering experience with electrical, instrumented manufacturing equipment and processes in a large-scale manufacturing environment Desired Characteristics: • Master's degree in electrical engineering, Computer Engineering, or Computer Science • Experience with new product introduction (NPI), including systems integration and developing equipment interfaces • Successful design and deployment of factory equipment for data exchange, AutoID systems (barcode, RFID), and discrete/analog I/O • Proficient in operating systems (Windows, Linux), software programming concepts, and distributed architectures (server/client, pub/sub, security, web reporting) • Creative thinker with a proven track record of envisioning and executing future test system solutions • Self-motivated curiosity extending beyond immediate responsibilities • Skilled in root-cause analysis and troubleshooting unknown issues to implement corrective actions • Knowledgeable in instrumentation technologies: electrical, fluid, and visual inspection • Experience managing electromechanical equipment procurement projects, including specification development, supplier selection, technical reviews, installation, and qualification • Strong project tracking and detailed planning skills • Ability to work effectively in large cross-functional teams and across organizational levels • Excellent oral and written communication skills; capable of providing status updates and training other engineers on electrical standards • Proven ownership of cross-functional program deliverables and decision-making for company benefit • Willingness to travel to satellite facilities for equipment deployment • Experience with Lean manufacturing principles • Ability to implement Agile processes and Test-Driven Development methodologies • Proficient in troubleshooting and using MS SQL databases • Experienced with electrical equipment CAD platforms (Solidworks Electrical, AutoCAD Electrical) • Fluency in Layer 2 and Layer 3 networking technologies, including 802.3, 802.11, STP, DNS, DHCP, Subnets, VLAN, VPN, MQTT, OPC-UA, HTTP, Firewalls, and protocol analysis (Wireshark) • Understanding of data encoding schemes: XML, JSON, Protobuf • Experience with Deep Learning, Machine Learning, Artificial Intelligence, or related technologies • Skilled in deploying computer systems for rapid feasibility demonstrations (single-board computers, Docker containers, virtual machines) • Working knowledge of data analysis platforms such as MiniTab, SAS, R, Jupyter Notebook, or equivalents • Six Sigma Certification