Topology Optimization Engineer – On-Site Microfluidics

CDFAM - Computational Design Symposium; Lausanne; Hybrid; CHF 120,000 - 170,000; Full time

Job summary

Corintis is seeking a Computational Optimization Engineer at our EPFL-area campus to build optimization technology for microfluidic cooling products. You will translate mathematical formulations into tested modules used daily by the engineering team.

The role requires a PhD and deep expertise in topology optimization, homogenization, and high-performance computing. You will collaborate closely with software, product, and manufacturing teams on site in Switzerland.

Qualifications

• PhD in Mechanical/related field required or equivalent.
• Expertise in topology optimization and homogenization.
• Strong background in FEM and numerical PDEs.
• Proficiency in Python and/or C++ for scientific software.
• Experience with HPC and MPI is a plus.

Responsibilities

• Develop numerical methods for topology optimization and multiscale material design.
• Formulate and solve optimization problems with homogenization and effective properties.
• Design and maintain simulation/optimization software in Python and/or C++.
• Create workflows combining finite element analysis and adjoint methods.
• Validate models and present results to technical teams.

Skills

Topology optimization

Multiscale modeling

Python

C++

FEM

Adjoint methods

Gradient-based optimization

Communication

Education

PhD in Mechanical Engineering or related field

Tools

Python

C++

MPI

Job description

Corintis is seeking a Computational Optimization Engineer at our EPFL-area campus to build optimization technology for microfluidic cooling products. You will translate mathematical formulations into tested modules used daily by the engineering team.

The role requires a PhD and deep expertise in topology optimization, homogenization, and high-performance computing. You will collaborate closely with software, product, and manufacturing teams on site in Switzerland.