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).
- 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.
 
- 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
 
 
- 3+ years of industry experience developing and deploying machine learning models
 - Strong publication record in top conferences and/or journals
 
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: ExperiencedRequired Travel: Yes, 10% of the time
Shift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $166,800 to $229,350.
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
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
 - Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
 - Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
 - Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
 - Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
 - Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
 


