Computational Solutions Engineer

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-transfer simulations.

Experience correlating simulation results with physical prototypes.

This is a great fit if you :

You're comfortable owning full simulation workflows and keeping them reproducible.

You use Python and CLI tools naturally for automation, post-processing, and environment management.

You can move between simulations, CAD updates, and prototype validation without losing structure.

You communicate results clearly to teams with different technical backgrounds.

You manage multiple projects independently and maintain attention to detail.

This won't be the right role for you if :

You prefer narrowly scoped tasks or purely GUI-driven workflows.

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.