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).

Job Title: Staff Research Scientist, Edge AI 

The Analog Garage: Located in the heart of downtown Boston, the Analog Garage is ADI’s Research and Advanced Development Center, empowering the company by pioneering breakthrough technologies. The Algorithmic Solutions Group within the Analog Garage researches and develops cutting-edge, efficient algorithms to convert data into intelligence that addresses society’s most pressing challenges. The team’s expertise spans fields such as machine learning, artificial intelligence, signal processing, computer vision, computational linguistics, communication systems, and other areas of electrical engineering and computer science, creating solutions with real-world impact. 

Job opportunity:

The Algorithmic Solutions Group is seeking a motivated researcher to develop innovative solutions at the intersection of cutting-edge AI algorithms and ADI technologies. In this role, you will: 

• Collaborate within a multidisciplinary team of researchers, engineers, and domain experts to bridge AI innovation with practical solutions 

• Develop cutting-edge AI algorithms designed for resource-constrained environments 

• Prototype and validate solutions, using both software simulations and hands-on hardware, to demonstrate feasibility and performance 

• Stay abreast of state-of-the-art algorithms and research advances in areas relevant to Analog Devices. 

Qualifications: 

• PhD degree in Electical Engineering, Computer Science or related fields.

• Experience in two or more of the following areas: 

  • Developing, deploying, and optimizing AI models using frameworks and tools such as PyTorch, TensorFlow, and cloud-based AI platforms

  • Modern AI architectures and training paradigms

  • Deploying and optimizing models on constrained hardware using

  • Techniques such as quantization, pruning, distillation, or on-device retraining

  • Computer architecture, AI accelerators, and/or model compilation

  • Analog, mixed-signal, and/or RF circuit design  

Preferred qualifications: 

• 3+ years of industry experience developing and deploying machine learning models

• Strong publication record in top conferences and/or journals 

Why join Us?

By joining ADI, you’ll have the opportunity to work at the intersection of hardware and AI to bring intelligence to the edge and create solutions that have a profound impact. Enjoy a dynamic work environment, be part of a team that values diversity of thought and experience and take your career to the next level. 

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.

• 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.