Hopefully they aren't limiting themselves to analog designs.
Also a mention of RRAM. We heard Coby Hanoch of Weebit recently say that they were working on something with Brainchip.
Role: Analog Devices (ADI) is exploring heterogeneous AI compute platforms that blend traditional digital architectures with emerging, non-conventional approaches, including but not limited to analog compute, in-memory processing, and neuromorphic hardware.
The Frontier AI team is seeking a senior technical contributor to launch and lead this long-term, cross-functional initiative. The role focuses on exploration, prototyping, and platform definition, with the ultimate goal of enabling ultra-efficient AI compute solutions that can scale across ADI’s wide variety of applications, spanning robotics, health wearables, audio systems, energy, and much more!
This is a strategic and ongoing initiative, not a one-off research project. The role requires technical depth, program execution, and the ability to engage both internal stakeholders across functions and external organizations, in particular the startup ecosystem.
Key responsibilities:
- Lead the early-stage definition and execution of ADI’s next-generation AI compute initiative
- Evaluate and prototype non-traditional computing paradigms, including analog signal-chain AI, in-memory compute (e.g SRAM or RRAM), neuromorphic systems (e.g., event-driven or spiking architectures).
- Architect hybrid compute platforms that integrate low-power, unconventional elements with traditional digital compute blocks
- Translate architectural advances into deployable systems for high-impact ADI markets, driving ultra-low latency, ultra-low power, and ultra-local adaptability (on-device learning) in application domains spanning robotics, consumer devices, automotive, industrial, and other areas.
- Run internal proof-of-concept trials both with internal groups (e.g., Field-Programmable Gate Arrays, FPGAs) and with external startups focused on non-traditional AI compute.
- Author and maintain core technical documents, such as Compute Exploration Plan, Architecture Whitepapers, Prototype Specification (initial system build targets)
- Partner with ADI \Corporate Strategy and Development, and platform leaders to align on roadmap, application fit, and integration potential
- Stay abreast of leading AI compute research and technical practicalities of implementation and drive the team towards advancing state of the art.
- 10+ years of experience in hardware systems, embedded compute, and AI platform development
- Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) workload requirements and their impact on compute hardware
- Technical exposure and knowledge of state-of-the-art of non-traditional architectures such as analog multiply-accumulate units, in-memory-compute, spiking neural networks
