R&D Engineer (Software Architecture & Automation)

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 our R\&D Software Engineer, you are the architect of our internal "Digital Nervous System."

You won't just "automate tasks" \- you will design a "self\-driving" workflow where code, simulation, and hardware design move in a seamless, automated loop.

This is a high\-impact role for a builder who can combine clean software architecture with scientific computing to scale our thermal breakthroughs.

Key Responsibilities
------------------------

• Automate engineering and project workflows using AI/LLM\-driven solutions


• Develop scalable, production\-ready tools in Python and C\+\+


• Maintain clean architecture and high coding standards


• Review code and ensure performance, readability, and reliability


• Build and maintain CI/CD pipelines for HPC environments


• Collaborate with teams across physics, CFD, and manufacturing


• Turn Smartfins prototypes into high\-performance software solutions

Essentials
--------------

• MSc in Computer Science, Software Engineering, or related field


• 2\+ years of experience


• Strong Python skills and good C\+\+ knowledge


• Experience with clean code, design patterns, and software architecture


• Experience with CI/CD and HPC environments


• Interest or background in:

Bonus Skills
----------------

• Slurm or HPC containerization


• CAD automation (Autodesk API, Open CASCADE)


• Generative AI / LLM applications


• CFD solvers such as OpenFOAM or Ansys

• Build systems from scratch with high ownership


• No red tape — fast execution and real impact


• Work on technology reducing AI’s energy footprint


• Join a lean team combining Clean Code with Deep Physics

Cette annonce provient de indeed. Voir l'annonce originale ↗