About Corintis

Corintis offers innovative microfluidic cooling technologies for AI chips/GPUs and CPUs used in data centers. Working with many of the world’s largest tech companies, our solutions improve compute sustainability and tackle the excessive electricity consumption associated with data centre cooling, which consumes more electricity than New York and London combined.

Ranked as the No.1 Engineering startup in Switzerland for 2025, Corintis offers a friendly and team-oriented workplace, bringing together over 85 people from over 35 nationalities to solve the most significant computing challenges of tomorrow. Based in the EPFL Campus in St. Sulpice, we are closely connected to the local ecosystem and are located a few minutes walk from Lake Geneva.

The Role

As a CFD automation & Simulation Intern, you will be responsible for supporting the Solutions Engineering team in advancing our simulation workflows across meshing, solving, and post-processing. You will collaborate closely with our simulation and software engineers. This role plays an important part improving the efficiency, scalability, and reliability of our simulation workflows used to design next-generation liquid cooling solutions for AI chips.

You will take genuine ownership of meaningful work from day one, contributing to benchmarks, automation tools, and testing frameworks that will shape how the team operates.

Key Responsibilities

• Evaluate and validate meshing workflows for accuracy, consistency, and reproducibility and develop practical guidelines the team can build on

• Design and run structured benchmarks to compare solver performance across tools and configurations, and identify opportunities to improve efficiency

• Test GPU-accelerated solvers on dedicated hardware, assessing performance scaling with mesh size, GPU resources, and solver settings.

• Automate post-processing pipelines and build tooling for standardised report generation, reducing manual effort across the team

• Document your methodologies and findings clearly and collaborate closely with Solutions Engineers to make sure your work integrates into existing workflows

Requirements

• Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Computational Engineering, Computational Science, Physics, Applied Mathematics, or a related technical field.

• Strong academic background in fluid mechanics and heat transfer

• Foundational knowledge of CFD principles (meshing, solving, post-processing)

• Familiarity with at least one simulation environment (e.g. OpenFOAM, Fluent, StarCCM+ or similar)

• Scripting skills in Python or similar for automation tasks

• Structured, methodical approach to testing and documentation

• Good communication skills in English (written and spoken)

This Is a Great Fit If You:

• Enjoy working in a hands-on, technically challenging environment where your work has a direct impact

• Are motivated by improving engineering processes and making simulations faster and more reliable

• Thrive when you can own a task end-to-end, from setup to documentation

• Value a collaborative, international team atmosphere

• Are curious about high-performance computing and GPU-accelerated simulation

This Won’t Be the Right Role for You If:

• You are not comfortable working with simulation tools that require hands-on setup and debugging

• You’re looking for a role with no technical depth or purely administrative tasks

• You prefer a highly structured corporate environment with fixed, pre-defined processes

• You prefer working fully remotely, as this role requires regular on-site collaboration at EPFL

What we offer:

• Start date: ASAP

• Activity rate: 100%

• Salary: 2,500 CHF gross per month

• Location: On-site at the EPFL Innovation Park, St. Sulpice