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Analog Devices

AI Compute Architect and Modeling – µAI Architectures

Reposted 10 Days Ago
Be an Early Applicant
In-Office
Boston, MA
125K-188K Annually
Senior level
In-Office
Boston, MA
125K-188K Annually
Senior level
Lead modeling and simulation of µAI compute systems. Evaluate third-party IP, develop system-level models, and analyze integration paths for AI compute architectures.
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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 LinkedIn and Twitter (X).

          

AI Compute Architect and Modeling – µAI Architectures (P4) 

Level: P4 (staff Engineer) 
Location: Boston, MA 
Team: Frontier AI Initiative

Role summary: Lead the modeling, simulation, and evaluation of novel µAI compute systems with an emphasis on novel AI compute techniques, such as (but not limited to) analog MACs, charge-based processors, in-memory compute, and neuromorphic hardware. This role supports architectural exploration and external technology vetting for ADI’s strategic roadmap. 

Key responsibilities 

  • Evaluate third-party IP and startup platforms, including validate vendor claims and produce PPA comparison reports. 
  • Develop system-level models (SystemC/C++/Python) for analog and neuromorphic compute primitives. 
  • Simulate and benchmark novel AI compute architectures such as analog MACs and event-driven architectures for latency and power. 
  • Analyze integration paths into ADI’s sensor signal chains, including AFE + AI co-design considerations. 
  • Contribute to technical diligence for licensing or co-development decisions. 

Ideal profile 

  • Background in SoC modeling, architectural simulation, and system-level benchmarking. 
  • Familiarity with novel AI compute architectures, such as analog compute modeling, spiking neural networks, or in-memory AI. 
  • Hands-on experience working with FPGAs, testbenches, or startup silicon prototypes. 
  • Ability to collaborate cross-functionally and distill complex tradeoffs into clear recommendations. 

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.

Top Skills

Analog Compute
C++
Fpgas
Machine Learning
Neuromorphic Hardware
Python
Systemc

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