Senior R&D Engineer (Generative Design & CFD)

Digital Pipl; Rotselaar; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Innovative Technologies is seeking a Senior R&D Engineer to own the algorithmic engine behind our thermal innovations. You will build and evolve the core generative design kernel that defines our products, translating complex thermal physics into production-ready code for liquid-cooled cool plates.

You will work with high autonomy, leading development of the solver and bridging math with manufacturing while collaborating with software teams to scale design cycles and drive next-gen CPU/GPU

Qualifications

• Advanced Academic Background: Master’s or PhD in Mathematical Engineering or Mechanical Engineering.
• Developer Mindset: Strong experience building custom tools/solvers in C++ or Python.
• Topology Optimization Expertise: Adjoint, Level-Set, SIMP methods knowledge.
• Thermal Fluency: Thermodynamics, Liquid cooling, Conjugate Heat Transfer (CHT).
• Startup Grit: Fast-paced with ownership and rapid iteration.

Responsabilités

• Architect the Solver: Develop/maintain generative design engines in C++/Python using OpenFOAM or CFD frameworks.
• Optimize Smartfins Logic: Implement topology optimization methods to push CHT limits.
• Bridge Math & Manufacturing: Integrate manufacturing constraints into the optimization loop.
• Drive the Digital Twin: Collaborate to automate and scale design cycles.
• Lead Through Research: Translate thermal research into scalable high-performance code for cooling.

Connaissances

C++

Python

OpenFOAM

Adjoint methods

Level-Set

SIMP

Thermodynamics

Liquid cooling

Conjugate Heat Transfer

Startup grit

Formation

Master’s or PhD in Mathematical Engineering

Master’s or PhD in Mechanical Engineering

Outils

OpenFOAM

Description 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