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& methods engineer jobs near duffel, vlg

Senior R&D Engineer (Topology Optimisation & CFD)

MegaCool Technologies
Rotselaar

Postuler rapidement

Détails de l'emploi

Temps plein

Qualifications

Expérience avec les centres de données
Doctorat
Master
OS kernels
C++
Production
Intelligence artificielle
Python

Description complète du poste

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

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

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

Push the boundaries of Conjugate Heat Transfer.

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

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"

Experience implementing manufacturing constraints into optimization frameworks
- Example: overhang angles for 3D printing or high-volume casting
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

Why Join Us?

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.

Postuler rapidement

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& methods engineer emplois - duffel, vlg