Staff Research Scientist, Artificial Intelligence

Analog Devices•Boston, MA

About The Position

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, Artificial Intelligence 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.

Requirements

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

Nice To Haves

3+ years of industry experience developing and deploying machine learning models
Strong publication record in top conferences and/or journals

Responsibilities

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.