Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. Backed by Lightspeed, Sequoia and a16z.
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
More about this role
Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale.
At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction.
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.
You will be part of a hands-on R&D team building custom, high-speed and, high-fidelity behavioral simulators that enable rapid iteration across all layers of unconventional physics-based computing systems. “Extreme co-design” is our guiding principle. We need tools that simulate...
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