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Staff Edge AI SOC System ArchitectAnalog Devices • Boston, MA, United States
Staff Edge AI SOC System Architect

Staff Edge AI SOC System Architect

Analog Devices • Boston, MA, United States
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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 more at www.analog.com and on 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 more at www.analog.com and on 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 SystemC).
  • 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\ML development, Neuromorphic architectures.
  • 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

    The expected wage range for a new hire into this position is $125,250 to $187,875.

  • 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.
  • Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Information Technology

    Industries

    Semiconductor Manufacturing

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