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Business: Smart (AI) cloud storage for personal documents
Headquarters: San Francisco, California, United States
Founder / CEO: Nirav Patel
Employee count (source snapshot): 257
Funding: No verifiable funding records found on searched sources
Personal document storage with AI features
Cloud software
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About
The company is building SimOps for Hardware —an automated infrastructure layer that validates mechanical designs against physics constraints (thermal, fluid, structural) in real-time.
Today, simulation is a bottleneck because it is manual. Senior engineers spend hours cleaning geometry, defining mesh parameters, and waiting for solvers, only to find a basic error. We are automating this entire loop. We ingest raw, often imperfect manufacturing files (.stp), automatically repair and mesh them, and run deterministic physics solvers (OpenFOAM, proprietary kernels) to provide instant "Pass/Fail" triage to hardware teams. We are the CI/CD pipeline for physical product development.
The Role
You will architect and implement the core physics engine that powers the company. Your primary technical challenge is robustness without human intervention . You must build systems that can accept arbitrary, "dirty" geometry from a customer and return a converged simulation result without a user ever clicking "repair" or setting a mesh size.
Key Responsibilities:
Who We Are Looking For
We are looking for an engineer who understands the mathematical fundamentals of simulation, not just how to use a GUI. You should be able to look at a diverged residual plot and identify whether the issue is poor mesh quality, aggressive under-relaxation, or an ill-posed boundary condition.
Qualifications:
Preferred Experience: