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.
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.
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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.
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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
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Density-based methods (SIMP)
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Level-Set approaches
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Thermal Fluency
Strong foundation in:-
Thermodynamics
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Liquid cooling
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Conjugate Heat Transfer (CHT)
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Startup Grit
Comfortable in fast-paced environments with high ownership and rapid iteration
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Experience integrating manufacturing constraints (e.g. 3D printing overhangs, casting limits) into optimization workflows
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Hands-on experience with OpenFOAM or similar CFD tools
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Exposure to data centers or AI infrastructure
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Proven track record of scaling research into real-world industrial applications
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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
