Senior R&D Engineer (Generative Design & CFD)
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.
The Role
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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.
Key Responsibilities
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Architect the Solver
Develop and maintain our proprietary generative design engine, writing custom C\+\+/Python code within OpenFOAM or similar CFD frameworks.
Optimize the "Smartfins" Logic
Implement cutting\-edge Topology Optimization methods:
- Adjoint methods
- Level\-Set
- SIMP
Bridge Math and Manufacturing
Integrate real\-world manufacturing constraints directly into the optimization loop to ensure designs are "ready\-to\-ship."
Drive the Digital Twin
Collaborate with our software team to automate design cycles.
Lead through Research
Translate complex thermal research into scalable, high\-performance code capable of handling the rapid refresh cycles of advanced CPUs and GPUs.
The Essentials
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Advanced Academic Background
A PhD or Master’s degree in:
- Mathematical Engineering
- Mechanical Engineering
- Or a related field
Developer Mindset
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.
Topology Optimization Expertise
Deep technical knowledge of:
- Adjoint methods
- Density\-based (SIMP)
- Level\-Set approaches
Thermal Fluency
Strong foundation in:
- Thermodynamics
- Liquid cooling
- Conjugate Heat Transfer (CHT)
Startup Grit
You thrive in lean environments where you own the full design lifecycle and prefer rapid prototyping over corporate red tape.
The "Extra Mile"
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- Experience implementing manufacturing constraints into optimization frameworks
- Experience with OpenFOAM or similar open\-source CFD frameworks
- Familiarity with the data center or AI infrastructure space
- A portfolio of research or projects where you’ve scaled "stealth" concepts into industry\-standard applications
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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.
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