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Senior Simulation Data Engineer
Physicsx
Work Mode
Field
Type
Full-Time
Sector
Education
First Seen
2026-08-10
Source
arbeitnow
Field Work Education IT ERP Data Deadline Unclear
Job Description
<div class="content-intro"><h2>About us</h2> <div>PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.</div> <div>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 requirements and quality standards</li> <li><strong>ML Engineers</strong> who consume Data Factory outputs for model training</li> <li><strong>ML Infrastructure Engineers</strong> who are accountable for downstream training infrastructure</li> </ul> <p>You will have end-to-end responsibilities over the Data Factory, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably.</p> <p>Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company.</p> <h1>What you will do</h1> <h2>Simulation Orchestration</h2> <ul> <li>Extend and operate the Data Factory infrastructure that orchestrates thousands of CFD simulations per day on cloud compute</li> <li>Design and operate job scheduling systems that maximize throughput while handling failures gracefully</li> <li>Build monitoring and alerting to detect simulation failures, converge
Skills
Research