# System Modeling (Dynamic Systems Simulation) 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=4206021009
- Page: https://www.1752.vc/careers/jobs/unconventional-ai-system-modeling-dynamic-systems-simulation/

## About the role

As a Member of Technical Staff, System Modeling (Dynamic Systems Simulation), you will be part of a hands-on R&D team building simulation frameworks that bridge the gap between SPICE-level physical reality and AI framework-level algorithmic abstraction.

## What they're looking for

- Education
- Dynamical systems simulation knowledge
- Knowledge of Analog and Mixed-Signal circuit design: understand transistor level circuit design principles and modeling of nonidealities such as noise, mismatch, and process variations
- Advanced Neural Modeling (PyTorch or JAX): proficiency in PyTorch or JAX, specifically in building custom autograd functions and integrating numerical solvers (e.g., Neural ODEs) to represent dynamic processes
- Dynamics & Differential Equations: A strong theoretical and practical grasp of linear and non-linear dynamics, state-space representations, and solving $dx/dt = f(x, u, t)$ within a machine learning context
- Stochastic Processes & Noise: Understanding how to model and mitigate noise in real-world systems, including experience with stochastic differential equations (SDEs) or Bayesian filtering

Tags: Engineering