# System Modeling (Computation) at Unconventional AI

- Company: Unconventional AI
- What the company does: Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. Backed by Lightspeed, Sequoia and a16z.
- Company website: https://unconv.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Mountain View, CA I US Remote
- Work setup: Remote
- Posted: 2026-04-01
- Apply by: 2026-10-12
- Apply: https://unconv.ai/careers/?gh_jid=4205950009
- Page: https://www.1752.vc/careers/jobs/unconventional-ai-system-modeling-computation/

## About the role

As a Member of Technical Staff, System Modeling (Computation), you will be part of a hands-on R&D team building simulation frameworks that enable evaluation and rapid iteration across all layers of unconventional physics-based computing systems for machine learning workloads. “Extreme co-design” is our guiding principle.

## What they're looking for

- Education
- MS/PhD in a quantitative field (AI/ML, Computer Science, Physics, Electrical Engineering, Applied Math), or BS with substantial, clear evidence of equivalent research/engineering depth
- Scientific Machine Learning (SciML) & Numerical Methods (replaces Dynamical computation knowledge)
- Deep expertise in numerical differential equation solvers (e.g., ODE, SDE, DDE) and their implementation on parallel architectures (e.g., Rosenbrock methods, Euler-Maruyama, adjoint methods, implicit solvers)
- Experience with high-performance, customized GPU kernel development for numerical methods, including GPU memory optimization and multi-GPU scaling
- Experience building effective neural network surrogate models (e.g., Neural ODEs) for complex dynamical systems

Tags: Engineering