At MegaCool Technologies, we aren't just making parts; we are solving the most physical bottleneck in the AI revolution: Heat.
While traditional data center cooling is reaching its physical limits, we’ve developed ultra-performant Smartfins technology using proprietary generative algorithms.
We are a lean, fast-moving startup bridging the gap between high-level software intelligence and massive-scale hardware manufacturing.
If you want to see your code manifest as physical hardware deployed at a global scale, you belong here.
As a Senior R&D Engineer, you are the master of the "algorithmic engine" that powers our thermal breakthroughs.
You won't just be a user of existing software; you will be a software developer responsible for building and refining the proprietary generative design kernel that defines our products.
This is a high-autonomy role where you will translate "impossible" thermal math into the code that generates the next generation of liquid-cooled cold plates.
Develop and maintain our proprietary generative design engine, writing custom C++/Python code within OpenFOAM or similar CFD frameworks.
Implement cutting-edge Topology Optimization methods:
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Adjoint methods
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Level-Set
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SIMP
Push the boundaries of Conjugate Heat Transfer.
Integrate real-world manufacturing constraints directly into the optimization loop to ensure designs are "ready-to-ship."
Collaborate with our software team to automate design cycles.
Translate complex thermal research into scalable, high-performance code capable of handling the rapid refresh cycles of advanced CPUs and GPUs.
A PhD or Master’s degree in:
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Mathematical Engineering
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Mechanical Engineering
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Or a related field
Proven ability to write and implement custom solvers/tools in C++ or Python.
You are a creator of tools, not just a consumer of them.
Deep technical knowledge of:
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Adjoint methods
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Density-based (SIMP)
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Level-Set approaches
Strong foundation in:
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Thermodynamics
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Liquid cooling
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Conjugate Heat Transfer (CHT)
You thrive in lean environments where you own the full design lifecycle and prefer rapid prototyping over corporate red tape.
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Experience implementing manufacturing constraints into optimization frameworks
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Example: overhang angles for 3D printing or high-volume casting
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Experience with OpenFOAM or similar open-source CFD frameworks
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Familiarity with the data center or AI infrastructure space
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A portfolio of research or projects where you’ve scaled "stealth" concepts into industry-standard applications
Real Ownership: We are a capital-light, agile team where your algorithmic decisions directly impact the physical product and the company’s trajectory.
Global Impact: You are directly contributing to reducing the massive energy footprint of the AI revolution.
The Pace: We operate at the inflection point of the GPU/CPU refresh cycle — fast, iterative, and always pushing the boundary of what's possible.
