Staff Mechanical Product Development Engineer- Integrated Predictive Analysis

TE Connectivity is a company focused on creating a safer, sustainable, and more connected world. The Staff Mechanical Product Development Engineer will lead advanced mechanical research, design, and validation efforts for interconnect systems in AI data centers and high-performance computing, driving innovation across mechanical platforms.

Responsibilities:

• Define and drive system-level simulation architecture for integrating design, materials, and manufacturing processes (forming, molding, assembly) into unified digital workflows
• Influence product and technology roadmaps, embedding integrated predictive simulation, robustness, and digital engineering into next-generation data center, interconnect, and power delivery platforms
• Develop and deploy integrated predictive engineering methodologies, combining product design, manufacturing simulation, and multiphysics analysis to enable robust, first-time-right solutions for complex electro-mechanical systems (connectors, high-speed I/O, enclosures, power-dense assemblies)
• Drive design optimization and robustness using multi-disciplinary optimization (MDO), design space exploration, sensitivity analysis, and tolerance-aware design
• Establish predictive design frameworks including reduced-order models (ROMs), compact models, and digital twins linking simulation, test, and field performance
• Drive adoption of Physics-AI approaches combining simulation data, test data, and machine learning to accelerate design cycles and improve predictive accuracy
• Develop automated simulation workflows integrating CAD, meshing, solving, and post-processing for scalable and repeatable analysis
• Enable data-driven engineering through pipelines for model calibration, surrogate modeling, and rapid design iteration
• Bridge product and process domains ensuring simulation insights translate into actionable design and manufacturing decisions
• Lead model validation and correlation integrating lab testing with simulation for high-confidence predictions
• Drive robustness and reliability engineering, incorporating variation-aware design, tolerance stack-up, and failure mode consideration
• Establish best practices and standards for AI agents based on predictive engineering across teams, and product lines

Requirements:

• Bachelor's degree in Mechanical Engineering or Physics with 8+ years of experience, or a Masters degree in Mechanical Engineering or Physics, or equivalent amount of experience in mechanical product development in connector, electronics, or high-reliability hardware industries
• Hands-on experience with mechanical design and modeling using tools such as Creo, SolidWorks, or NX
• Expertise in simulation tools such as ANSYS, Abaqus, or FloTHERM for thermal/structural analysis
• Proven experience in DFM, DFA, and transition of mechanical designs to high-volume manufacturing
• Deep understanding of materials science, including polymers, metals, and thermal materials
• Experience conducting reliability testing: thermal cycling, vibration, drop/shock, and HALT/HASS
• Strong problem-solving and analytical skills with a focus on root cause analysis and continuous improvement
• Excellent communication skills to engage with global engineering, operations, and customer teams
• Experience with micro-mechanics, co-packaged optics, or liquid cooling solutions
• Familiarity with data analytics, Six Sigma methodologies, or AI-driven simulation optimization
• Experience working on system-level hardware such as AI servers, switches, or RF modules
• Patent filings or published research in mechanical design, thermal management, or materials
• Experience managing cross-functional or global engineering projects