PhysicsX
GrowthAI for physics simulations in aerospace, automotive, and energy. FDEs embed with engineering teams to replace or dramatically accelerate CAE workloads. CFD, FEA, crash simulation. With physics-informed neural networks trained on the customer's own simulation history.
Signals from job descriptions
Patterns mined from PhysicsX's open FDE postings
- 01
PhD in physics, engineering, or mathematics is required (not preferred) in most FDE roles. The steepest academic bar of any company profiled here.
- 02
CFD and FEA experience is listed alongside Python skills. Domain knowledge of physical simulation is as important as software engineering.
- 03
HPC cluster experience is a hard requirement, meaning FDEs operate at the intersection of supercomputing and ML, not just cloud-native AI.
Tech stack
Inferred from job descriptions
Languages
AI / ML
Cloud & infra
Tools & integrations
Sectors
Hiring regions
- United States
- Asia-Pacific
Seniority mix
- Mid-level / unspecified3
- Senior2
Open roles · 5 total
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