Senior R&D Engineer
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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
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