Senior R&D Engineer (Generative Design & CFD)

This is Innovative Technologies company , who are not just manufacturing parts — but solving one of the biggest physical bottlenecks in the AI revolution: heat . As traditional data center cooling approaches its limits, this company developed ultra-high-performance Smartfins technology , powered by proprietary generative algorithms.

This is a lean, fast-moving startup bridging software intelligence and large-scale hardware manufacturing. If you want to see your code turn into real-world hardware deployed globally, this is the place. The Role As a Senior R&D Engineer , you will own the algorithmic engine behind our thermal innovation. This is not a user role — you will build and evolve the core generative design kernel that defines our products.

You will work with high autonomy, translating complex thermal physics into production-ready code that generates next-generation liquid-cooled cold plates .

Key Responsibilities

Architect the Solver Develop and maintain proprietary generative design engines using C++ / Python within OpenFOAM or similar CFD frameworks. Optimize Smartfins Logic Implement advanced topology optimization methods (Adjoint, Level-Set, SIMP) to push the limits of conjugate heat transfer (CHT) . Bridge Math & Manufacturing Integrate real-world manufacturing constraints directly into the optimization loop to ensure designs are production-ready.

Drive the Digital Twin Collaborate with software teams to automate and scale design cycles. Lead Through Research Translate cutting-edge thermal research into scalable, high-performance code for next-gen CPU/GPU cooling. What You Bring The Essentials Advanced Academic Background Master’s or PhD in Mathematical Engineering, Mechanical Engineering, or related field Developer Mindset Strong experience building custom tools/solvers in C++ or Python Topology Optimization Expertise Deep knowledge of: Adjoint methods Density-based methods (SIMP) Level-Set approaches Thermal Fluency Strong foundation in: Thermodynamics Liquid cooling Conjugate Heat Transfer (CHT) Startup Grit Comfortable in fast-paced environments with high ownership and rapid iteration Nice to Have (Extra Mile) Experience integrating manufacturing constraints (e.

g. 3D printing overhangs, casting limits) into optimization workflows Hands-on experience with OpenFOAM or similar CFD tools Exposure to data centers or AI infrastructure Proven track record of scaling research into real-world industrial applications Why Join Us? Real Ownership Your algorithms directly shape the physical product and company direction Global Impact Contribute to reducing the energy footprint of AI High Velocity Environment Work at the pace of GPU/CPU innovation cycles — fast, iterative, cutting-edge