Edge AI SOC System Architect

Position: Staff Edge AI SOC System Architect
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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  and on Linked In and Twitter (X).

Team:
Frontier AI Initiative

Role Summary

We are building a pioneering organization focused on advancing the next generation of Edge AI compute and intelligent sensors. We are seeking an

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  and on Linked In and Twitter (X).

AI Compute System Engineer

Location:

Boston, MA

Team:
Frontier AI Initiative

Role Summary

We are building a pioneering organization focused on advancing the next generation of Edge AI compute and intelligent sensors. We are seeking an AI Compute System Engineer to play a hands-on role in benchmarking and validating novel analog and in-memory compute primitives for Edge AI. In this role, you will lead the evaluation of new compute approaches in collaboration with startups and internal teams, provide detailed analyses and recommendations, and support the integration of innovative compute IPs into ADI’s future SoCs.

You will also define and build test benches, analyze third-party compute IPs, and help develop proof-of-concept systems that combine ADI IP with novel compute technologies.

Key Responsibilities

• Benchmark and validate analog and in-memory compute primitives for Edge AI applications.

• Lead the evaluation and validation of new compute approaches in collaboration with startups, internal teams, and technology partners.

• Analyze and benchmark third-party analog and in-memory compute IPs to assess suitability for real-world AI inference tasks.

• Evaluate performance, power efficiency, and reliability to inform architectural and product decisions.

• Collaborate with the SoC System Architect to validate system integration requirements and constraints.

• Build and test early-stage proof-of-concept (PoC) systems combining ADI IP with novel compute technologies.

• Build testbed setup, driver bring-up, and co-simulation with analog and digital subsystems.

• Document findings and recommendations to support go/no-go decisions and guide the technical roadmap.

Ideal Profile

• Master's degree in electrical engineering, Computer Engineering, Computer Science, or a related field.

• 5-7 years of experience in SoC system engineering, integration and validation, compute benchmarking.

• Good understanding of SoC architecture, IP integration, and co-simulation with mixed-signal blocks.

• Familiarity with analog compute, in-memory compute, or

• Experience with building test benches, performance measurement, and system validation.

• Hands-on skills in scripting and modeling (e.g., Python, MATLAB, or System

C).

• Strong analytical skills to evaluate performance, power, and reliability metrics.

• Ability to collaborate cross-functionally with architects, hardware teams, and external partners.

• Clear technical communication and documentation skills.

• Big Advantage – Experience in AI L development, Neuromorphic architectures.
For…