Sr. Manager Simulation R&D​/Product Development Engineering

Sr. Manager Simulation R&D/Product Development Engineering

The Digital Data Networks (DDN) Business Unit is seeking a Sr. Manager R&D Product Technology to lead a highly talented engineering team through Electrical Signal Integrity and/or Multiphysics engineering analysis, modeling/simulation, and performance prediction to rapidly screen, compare, and down‑select next‑generation interconnect technology concepts for tomorrow’s most demanding high‑speed, high‑density platforms – including switches, servers, data storage systems, and AI hardware.

As a key member of the DDN Advanced Development (AD) leadership team, you will be responsible for cutting‑edge innovation in interconnect technologies that are expected to push the boundaries of density and performance. These future solutions will likely incorporate not only traditional electrical signaling but also electromagnetic wave and photonic propagation. In this role, you will lead your team to establish first‑principles models and high‑fidelity simulations, generate decision‑quality performance predictions, and use those predictions to guide trade‑offs and enable rapid concept down‑selection.

You will collaborate closely with the leadership of cross‑functional engineering teams and engage with key stakeholder leaders across Sales, Product Management, System Architecture, and other internal groups. You will lead the identification, evaluation, and cultivation of external partnerships with academic institutions, startups, and technology vendors. Additionally, you will be responsible for establishing and delivering upon a multi‑year strategy and associated roadmap that guides the development and maturation of your team to a position of industry‑wide superiority in Electrical Signal Integrity and/or Multiphysics engineering analysis, modeling/simulation, and prediction.

• Ensure team members establish robust project goals, modeling assumptions, and measurable performance targets/specifications for a given technology through effective collaboration with TE Sales, System Architecture, and Product Management groups.
• Guide the team in the development, application, and continuous improvement of first‑principles engineering analysis, modeling/simulation, and performance prediction to rapidly down‑select solution concepts, including team member tasks such as:
• Building first‑principles and reduced‑order models to rapidly screen concepts and identify dominant physics, sensitivities, and scaling relationships.
• Developing and executing high‑fidelity simulations (e.g., electrical signal integrity/structural/thermal/vibration/fatigue and other multiphysics analyses) using state‑of‑the‑art FEA and modeling tools to predict performance and risk.
• Performing sensitivity studies, uncertainty quantification, and statistical tolerance/variation analyses to understand robustness and manufacturing/assembly risk early.
• Completing exhaustive failure‑mode and risk analyses (DFMEA/physics‑of‑failure) to guide design trade‑offs and prioritize mitigation actions.
• Defining analysis‑ready geometry, boundary conditions, and loading scenarios; partnering with designers as needed to ensure models/drawings and GD&T support accurate prediction.
• Collaborating with fellow AD team members on Design for Manufacturability (DfM) assessments by using model‑informed studies to find creative solutions around manufacturability constraints.
• Completing cost and value trade studies to balance predicted performance, risk, and financial viability of proposed solutions.
• Delivering engineering evaluations, performance predictions, and clear recommendations that enable rapid concept down‑selection and decision making.
• Filing appropriate intellectual property submissions.
• Initiating prototype sample creation and test/measurement activities to verify predictions, correlate models, and improve simulation fidelity (verification & validation).
• Collaborating with front‑line product engineering (PDE)/NPI teams to transfer predictive methods, validated models, and advanced technical knowledge to ensure successful commercialization of new technologies.
• Ensure that your team members are…