AI Theory

About the role

Unconventional AI is building a new computing foundation designed to increase efficiency by 1000x by mapping neural networks directly to semiconductor physics. We are seeking a Member of Technical Staff to join our R&D team to lead the invention and validation of our core computing platform.

Key facts

What you'll do

• Develop theoretical models and simulations for our novel computing architecture.
• Conduct hardware and software co-design to optimize performance.
• Create algorithms that exploit device physics for neural network execution.
• Validate experimental results in collaboration with the broader R&D team.
• Define the technical roadmap by navigating ambiguous, high-level research challenges.

Requirements

• MS or PhD in Physics, Computer Science, Electrical Engineering, Applied Math, or a related quantitative field, or equivalent project experience.
• Demonstrated ability to solve complex, open-ended R&D problems from scratch.
• Proficiency in analyzing nonlinear dynamical systems, including ODEs, PDEs, and SDEs.
• Experience evaluating system stability, noise robustness, and capacity.
• Ability to build practical metrics and automated analysis tools based on theoretical insights.
• Strong programming skills in Python for numerical computing and visualization.
• Familiarity with dynamics-based machine learning architectures like diffusion or energy-based models.

Nice to have

• Experience with computer algebra libraries such as sympy.
• Expertise in hardware engineering or advanced machine learning algorithms.
• Ability to communicate complex technical trade-offs between hardware and software teams.

Skills & tools

• Python, numpy, scipy, matplotlib, sympy.
• PyTorch, JAX.
• Nonlinear dynamical systems analysis.

Practical notes

• Benefits include comprehensive health insurance, 401k matching, unlimited PTO, and daily meals at our Palo Alto office.