Technical Program Lead, Advanced AI Compute Architectures

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

          

Internal Job Description (P6)

Title: Technical Program Lead, Advanced AI Compute Architectures
Level: P6
Location: Boston, MA (Hybrid)

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.

Qualifications:

• 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
• Master’s or Ph.D. in Electrical Engineering, Computer Engineering, AI, or related field preferred

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days