KEY RESPONSIBILITIES

Thermal Simulation & Analysis

- Build, execute and interpret thermal and CFD simulations across conduction, convection, radiation and conjugate heat transfer for electronic assemblies, connectors and cooling systems.
- Develop thermal resistance networks, junction-temperature predictions, heat-spreading models and thermal interface material (TIM) characterisations.
- Model liquid cooling systems — cold plates, manifolds, microchannels — evaluating pressure drop, thermal resistance, flow uniformity and coolant path optimisation.
- Perform airflow and system-level cooling analysis for data center connectivity, server and rack-level thermal architectures.
- Conduct mesh independence studies, sensitivity analyses, and validation against analytical solutions and physical test data.

Engineering Judgement & Correlation

- Establish and defend boundary conditions, material models and turbulence model selections based on physics reasoning, not convention.
- Correlate simulation predictions against thermal test data; quantify confidence bounds and communicate uncertainty honestly to stakeholders.
- Identify when a simulation result is not physically credible and drive it to root cause rather than accepting a converged number.
- Contribute to thermal simulation standards, workflow documentation and internal methodology development.

Cross-Functional Delivery

- Partner with product engineering, systems and test teams across s five divisions to translate thermal findings into design decisions.
- Communicate thermal physics clearly to non-specialist audiences — design engineers, program managers and business unit leadership.
- Support recent product introduction (NPI) programs with thermal risk assessment and design-for-thermal recommendations.
- For Senior Engineers:



mentor junior engineers and PGETs, review their simulation setups, and act as a technical reference point for the team.

Toward Predictive Engineering

- Contribute thermal simulation data and physical insight to surrogate model and digital twin development programs.
- Support the reduction of physical thermal testing through credible, well-correlated virtual qualification.
- Where interest and aptitude allow, participate in AI/ML-assisted thermal prediction initiatives — reduced-order models, regression-based correlations and physics-informed approaches.

QUALIFICATIONS

Required — Fundamentals Above All

- Deep, working command of conduction, convection, radiation, conjugate heat transfer, and the physical regimes in which each dominates. You can derive, not just recall. Thermal & Fluid Physics:
- Solid grasp of Navier-Stokes, boundary layers, turbulence modelling (RANS, k-ε, k-ω, SST), pressure-velocity coupling and the assumptions embedded in each. Fluid Mechanics:
- Understanding of finite volume discretisation, convergence, stability, mesh quality and numerical diffusion — and how each corrupts a result when neglected. Numerical Methods:
- Hands-on tool experience with at least one commercial CFD/thermal solver: Ansys Fluent, Ansys Icepak, Simcenter STAR-CCM+, Simcenter Flotherm, or OpenFOAM.
- B.E./B.Tech in Mechanical, Thermal, Aerospace or a closely related engineering discipline. M.Tech/M.E./MS strongly preferred, particularly with a thesis in heat transfer or fluid dynamics.
- Engineer level: 3–6 years of applied thermal simulation experience. Senior Engineer level: 6–10 years, with demonstrated independent ownership of thermal programs.
- Ability to sanity-check a simulation with a hand calculation — and the instinct to do so before presenting results.

📌 Structural Engineer (Bengaluru)
🏢 Molex
📍 Bengaluru