Senior Simulation Data Engineer

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries

By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility.

Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

</div></div><h4><strong>Note: </strong>We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

</h4> <h1>The Role</h1> <p>The Senior Simulation Data Engineer will extend and operate the infrastructure that powers our research Data Factory.

You will be responsible for the end-to-end pipeline: from geometry preparation and simulation orchestration through validation, post-processing, and delivery to downstream ML training systems, using PhysicsX platform orchestration services where synergies exist.

</p> <p>This role sits at the intersection of HPC engineering and data engineering.

You will orchestrate long-running CFD simulations at scale, build robust data pipelines, and ensure that every simulation we produce meets rigorous quality standards.

</p> <h2>Team Context</h2> <p>In this role, you will be vertically embedded in Research , working daily with:</p> <ul> <li><strong>Research Scientists</strong> who define data.

Requisitos

and quality standards

ML Engineers who consume Data Factory outputs for model training

ML Infrastructure Engineers who are accountable for downstream training infrastructure

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