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Computational Solutions Engineer

vor 55 Minuten


Lausanne, Schweiz Corintis Vollzeit

We are looking for a Computational Solutions Engineer who can turn customer inputs into reliable, simulation-ready workflows and deliver high-quality thermal/hydraulic design results.  The role centers on building robust end-to-end processes: collecting and structuring customer data, setting up and running multi-fidelity simulations, developing Python tooling for automation, and ensuring that CAD and geometry assets are consistent and manufacturable. You will operate across skived cold plate benchmarks, microfluidic topology optimization, 2.5D/3D CHT simulations, high-fidelity verification, experiment validation, using both in-house tools and external solvers. You will be the technical backbone for project execution maintaining scalable compute setups, troubleshooting environment issues, and ensuring reproducibility across cloud and on-prem systems.  The position requires strong quantitative skills and the ability to synthesize results into clear reports, plots, and customer-facing material. Close collaboration with hardware teams and developers is essential, especially when validating designs against prototypes and feeding back improvements to workflows, tools and new features.  This is a hands-on role for someone who works independently, communicates clearly, and is comfortable moving between engineering rigor, customer interaction, and practical implementation. Key Responsibilities Customer Input & Setup: Collect and standardize customer requirements (powermaps, geometry constraints, thermal specs). Validate input completeness and prepare simulation-ready configurations. Simulation & Optimization: Run straight-channel benchmarks, inlet/outlet optimization, full topology optimization, 2.5D/3D thermal–hydraulic simulations, and high-fidelity verification using external tools. Python Scripting & Automation: Develop and maintain Python scripts for benchmarking, design sweeps, post-processing, and reporting. Use CLI/terminal workflows to run simulations using in-house tool, manage datasets, and automate repetitive tasks. CAD & Geometry Workflows: Create and update CAD/ECXML files. Maintain template libraries and ensure geometry consistency for manufacturability and prototype validation. Post-Processing & Reporting: Extract results from Paraview, generate comparative plots, and prepare structured reports and slide decks for customers and internal teams. Infrastructure & Tooling: Configure simulation environments on cloud or internal machines (GCP, AWS). Troubleshoot environment, licensing, or workflow issues across Python, ECXML, and remote execution setups. Collaboration & Support: Work with hardware teams on prototype validation, correlate simulations with experiments, and provide reproducible bug reports and feature feedback to the development team. Technical Communication: Create documentation, tutorials, and customer-facing presentations. Support pre-sales discussions with technical evaluations and demonstrations. Requirements - technical expertise Master’s in Mechanical/Thermal Engineering, Aerospace/Computational Engineering, Physics, or similar. ≥3 years of CFD experience with commercial (Ansys, Icepak, Flotherm, Celsius EC, Fidelity) or open-source tools (Python-based libraries, like Firedrake, FenicsX, etc.). Strong Python scripting ability (data handling, automation, post-processing). Comfortable with Linux terminals, command-line tooling, and remote compute environments. Experience preparing and managing CAD/ECXML files. Clear, structured communication with customers and internal teams. Able to explain simulation concepts to users with different technical backgrounds. Self-directed, detail-oriented, and able to manage multiple parallel projects. Fluent in English. Preferred Candidates with PhD with experience in microfluidics, CFD/CHT 3D simulations. Experience with thermal management of microchips will be preferred. Experience with (topology) optimization or conjugate heat-