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 Glaciercore, 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.