Senior Computational Optimisation Engineer (Python/C++)

Location: Onsite in Lausanne, Switzerland

Company

hirify.global develops microfluidic cooling technologies for AI chips, GPUs, and CPUs used in data centres, with a focus on improving compute sustainability and reducing cooling energy consumption.

What you will do

• Develop numerical methods for topology optimization, PDE-constrained optimization, and multiscale material design.
• Formulate optimization problems involving homogenization, effective material properties, and microstructure-driven performance.
• Design and maintain simulation and optimization software in Python and/or C++.
• Build workflows combining finite element analysis, sensitivity analysis, adjoint methods, and gradient-based optimization.
• Translate engineering and scientific requirements into computational models and optimized designs, then verify and validate models, algorithms, and results.
• Document methods and code, present outcomes, and introduce applicable advances in topology optimization and computational mechanics.

Requirements

• Ph.D. in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Computational Engineering, Applied Mathematics, Materials Science, Physics, or a related field.
• Expertise in topology optimization, including density-based, level-set, or shape optimization methods.
• Experience with homogenization, multiscale modeling, and computation of effective material properties.
• Strong background in the finite element method and numerical methods for partial differential equations.
• Experience with sensitivity analysis, adjoint methods, and gradient-based optimization.
• Proficiency in Python and/or C++ for reliable scientific software.
• Knowledge of version control, testing, documentation, and modular code design.
• Experience with high-performance computing and parallel programming, preferably with MPI.
• Fluent English with strong written and verbal communication skills.

Culture & Benefits

• Small, team-oriented onsite environment with a short path from ideas to measurements.
• Work closely with computational, product, manufacturing, and software engineering teams.
• Own methods from mathematical derivation through tested and documented production modules.
• Work on physical products whose optimized geometry becomes hardware for data-centre cooling.
• Full-time position based at the EPFL Campus in the Lausanne area.