Principal Heterogenues AI Accelerator Lead

## Principal Heterogenues AI Accelerator Lead Apply locations:
US, MA, Boston:
US, CA, San Jose, Rio Robles time type:
Full time posted on:
Posted Todayjob requisition :
R263269
** 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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible.

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** Principal Heterogenues AI Accelerator Lead
** Boston, MA;
San Jose, CA Team:
MicroAI
** Role

Summary:

** ADI is seeking a Technology Expert in Analog and Digital AI Accelerators to define and develop a fundamentally innovative approach to artificial intelligence compute, characterized by ultra-low power consumption and deep integration within silicon. This is a practical, Hands-On , technical leadership position focused on advancing the foundational computational layers of AI, with particular emphasis on how intelligence is represented, computed, and executed within a chip under stringent power, latency, and reliability  this role, you will lead the development of system-level architecture from initial concept through to detailed design specifications.

Your responsibilities will include assessing and comparing various architectural approaches, conducting in-depth evaluations of selected computing modalities, and developing system models utilizing Synopsys Platform Architect to translate insights into precise implementation specifications. Furthermore, you will collaborate closely with both internal teams and external partners across domains such as compute IP, processors, accelerators, analog and digital subsystems, firmware, and system interfaces.
** Key Responsibilities
*** You will lead the effort of translating product requirements, including functions and workloads, into end-to-end system architectures, producing well-defined specifications for IP blocks, processors, firmware, memory subsystems, and AI compute engines.
* Explore new representations of intelligence that go beyond conventional digital AI models and architectures
* Bridge the gap between academic research and real-world deployment, ensuring ideas withstand contact with physical constraints such as noise, power, variability, node scalability, and manufacturability.
* Lead the architecture exploration and collaborate with the modeling team to drive insights and breakthroughs
* Define detailed hardware block specifications and interfaces, contributing to modeling and, when appropriate, RTL development.
* Collaborate across architecture, design, verification, firmware, and physical design teams to ensure architectural intent is realized.
* Provide technical leadership and mentorship, influencing architecture decisions across multiple projects and SoC generations.
** Minimum Qualifications
*** PhD or Master’s degree in Computer Engineering, Electrical Engineering, or a related technical field.
* 10 or more years of practical experience in digital and analog AI Accelerator systems architecture for Physical AI or embedded intelligent platforms robotics/drones / AV systems
* Hands-on experience with digital signal processing and both analog and digital neural-network compute architectures.
* Hands-On experience on how to map AI workloads and pipeline into compute requirements
* Experience in leadership and management roles
* Proven ASIC design expertise, encompassing high-speed and low-power RTL development, integrating System Verilog for analog compute representation, as well as familiarity with physical design flows and constraints.
* Strong expertise in SystemC modeling and virtual prototyping, with demonstrated ability to build and analyze complex system-level models.
* Deep understanding of processor architecture and design, including datapaths, memory hierarchies, interconnects, peripherals, and…