Principal AI Accelerator Architect Lead

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Principal AI Accelerator ArchitectLead

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 intelligencecompute, 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 constraints.

In 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 translatingproduct requirements, includingfunctions 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 AImodels 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 thearchitecture exploration and collaboratewith themodelingteamtodrive 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 orMaster’s degree in Computer Engineering, Electrical Engineering, or a related technical field.

• 10 or more years ofpracticalexperience in digital and analogAI Acceleratorsystems architecture for Physical AI or embedded intelligent platformsrobotics/drones / AV systems

• Hands-on experience with digital signal processing and both analog and digital neural-networkcomputearchitectures.

• 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, integratingSystemVerilogfor 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, includingdatapaths, memory hierarchies, interconnects, peripherals, and chip-level interfaces.

• Proficiency with advanced verification methodologies, including UVM,SystemVerilog, SystemC, constrained-random testing, functional coverage, and assertion-based verification.

• Strong programming skills in C and additional languages commonly used for modeling, simulation, or design.

• Excellent written and verbal communication skills.

• Demonstrated technical leadership, curiosity, andastrong work ethic.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $200,000 to $275,000.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.