Technical Program Lead – Advanced AI Computer Architectures
| Company | Analog Devices |
|---|---|
| Location | Boston, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- 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
- Background in low-power, efficient system design and embedded AI deployment
- Ability to work independently and drive long-term technical initiatives from zero to prototype
- Experience working with or evaluating startups or early-stage technologies
- Effective written and verbal communication skills across technical and executive audiences
- Strong technical leader with an aptitude for managing in the future
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.
Preferred Qualifications
- Master’s or Ph.D. in Electrical Engineering, Computer Engineering, AI, or related field preferred