Computational Solutions Engineer

Computational Solutions Engineer – Founderful

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.

Location:

Lausanne, Vaud, Switzerland

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

• Collect and standardize customer requirements (powermaps, geometry constraints, thermal specs). Validate input completeness and prepare simulation‑ready configurations.
• Run straight‑channel benchmarks, inlet/outlet optimization, full topology optimization, 2.5D/3D thermal–hydraulic simulations, and high‑fidelity verification using external tools.
• Develop and maintain Python scripts for benchmarking, design sweeps, post‑processing, and reporting. Use CLI/terminal workflows to run simulations with in‑house tools, manage datasets, and automate repetitive tasks.
• Create and update CAD/ECXML files. Maintain template libraries and ensure geometry consistency for manufacturability and prototype validation.
• Extract results from Paraview, generate comparative plots, and prepare structured reports and slide decks for customers and internal teams.
• Configure simulation environments on cloud or internal machines (GCP, AWS). Troubleshoot environment, licensing, or workflow issues across Python, ECXML, and remote execution setups.
• Work with hardware teams on prototype validation, correlate simulations with experiments, and provide reproducible bug reports and feature feedback to the development team.
• Create documentation, tutorials, and customer‑facing presentations. Support pre‑sales discussions with technical evaluations and demonstrations.

• 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, Fenics
  
  X, 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.

• Ph.D. with experience in microfluidics, CFD/CHT 3D simulations.
• Experience with thermal management of microchips.
• Experience with topology optimization or conjugate heat‑transfer simulations.
• Experience correlating simulation results with physical prototypes.

• Are comfortable owning full simulation workflows and keeping them reproducible.
• Use Python and CLI tools naturally for automation, post‑processing, and environment management.
• Can move between simulations, CAD updates, and prototype validation without losing structure.
• Communicate results clearly to teams with different technical backgrounds.
• Manage multiple projects independently and maintain attention to detail.

• You prefer narrowly scoped tasks or purely GUI‑driven workflows.
li>You avoid debugging infrastructure, remote environments, or scripting issues.
• You're not interested in CAD/geometry consistency or manufacturability constraints.
• You would rather not interact with customers or explain technical decisions.
• You struggle to keep parallel projects organized and reproducible.

Founderful is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.