Unconventionalinc

AI Hardware Architecture

Palo Alto, CA

Sponsorship not specifiedDetected 49 days ago

Full-Stack DevelopmentAlgorithmsMachine LearningLLMsElectrical EngineeringResearchCommunicationCollaboration

About the role

As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team.
This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how."
We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture.

Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members.

Full-stack Communication: Excellent ability to communicate complex technical concepts to diverse teams across the full stack from algorithms to circuits.
Modern generative AI models: Experience with designing hardware to run modern generative AI models.
Non-volatile memories: Experience with detailed systems design and evaluation using at least one type of emerging non-volatile memory (e.g., RRAM), and knowledge of the tradeoffs of other non-volatile memories.
The Mission: Redefine computing for the next 50 years by solving the fundamental energy limitation of AI at a global scale.
Experience with designing hardware to run modern generative AI models.
Experience with detailed systems design and evaluation using at least one type of emerging non-volatile memory (e.g., RRAM), and knowledge of the tradeoffs of other non-volatile memories.

An MS/PhD or equivalent research/project experience is strongly preferred.
Excellent ability to communicate complex technical concepts to diverse teams across the full stack from algorithms to circuits.

A comprehensive package including best-in-class health benefits, 401k matching, truly unlimited PTO, and complimentary meals in our Palo Alto office.
Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors.

We are seeking exceptional individuals who will help to propose, design, and evaluate analog-computing hardware architectures for achieving a 1000x energy-efficiency advantage in ML inference.
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.

This listing is sourced directly from Unconventionalinc's careers page and normalized into a canonical job model.