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# AI Hardware Architecture

- **Company:** The Unconventional
- **Location:** Mountain View, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Computing Platforms, Artificial Neural Networks, Machine Learning, Non-Volatile Memory, Graphics Processing Unit (GPU), Computer Network Operations, Computer Equipment, Information Technology, Modeling and Simulation, Hardware Acceleration, Machine Learning Operations
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-hardware-architecture-mountain-view-ca--1822805b-8541-4a4c-b738-4d2731c2487e

## About the Role

* Exceptional technical training and ability in a quantitative field (e.g., Physics, Electrical Engineering, Computer Science, or a related discipline): An MS/PhD or equivalent research/project experience is strongly preferred. Deep knowledge of and experience in at least one of: AI hardware architecture design or integrated-circuit design (the latter need not relate directly to AI).
 * Analog and/or other unconventional physics-based computing: Exposure to and familiarity with the basic principles and engineering practice of these paradigms.
 * Modern generative AI models: Familiarity with how modern (post-2017) AI models work and what this might imply for analog computer systems design.
 * Full-stack Communication: Excellent ability to communicate complex technical concepts to diverse teams across the full stack from algorithms to circuits., The ideal candidate will have a deep understanding of the principles and engineeringpractice of analog and/or other unconventional physics-based computing paradigms and a proven ability to design and evaluate analog/unconventional computing hardware architectures.
 * Energy modeling and optimization: Experience modeling the energy consumption of given architectural designs for AI workloads, and optimizing architectures for minimal energy consumption while maintaining ML performance.
 * Hardware-algorithm co-design: Experience designing systems where both the AI algorithm/model and the hardware are optimized simultaneously - as opposed to architecting a system where the system behavior is specified a priori based on the needs of algorithms as they are run on GPUs.
 * 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.

## Description

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. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform.

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. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap., 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.