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Senior R&D Engineer (Generative Design & CFD)

Digital Pipl
Rotselaar

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 11 heures

Qualifications

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

Description complète du poste

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

Soumettre votre candidature

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