Analog Devices · 18 hours ago
Staff Research Scientist, Artificial Intelligence
Boston, MA
Full-time
Onsite
Senior Level, Lead/Staff
$167K/yr - $229K/yr
3+ years expAnalog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. They are seeking a Staff Research Scientist to develop cutting-edge algorithms that integrate modern AI with physical systems, focusing on solving complex problems and driving innovation in various domains.
DSPElectronicsLightingSemiconductor
No H1B
U.S. Citizen Only
Responsibilities
Strategic Problem Definition: Collaborate with business leads and domain experts to identify opportunities where Modern AI can solve previously impossible problems. You will filter "hype" from "value," focusing on challenges that require deep technical innovation rather than off-the-shelf models
Research-to-Product: Lead technical execution from mathematical conceptualization to proof-of-concept. You will partner with researchers and engineers across the organization to bridge the gap between abstract research papers and validated solutions
Architecting Physical AI: Design next-generation neural architectures and custom training paradigms tailored to the physics of the data. You will investigate the inner workings of training dynamics and loss landscapes to develop robust learning strategies for complex physical signals
Efficient AI: Bridge the gap between massive foundation models and edge constraints. You will research techniques in model distillation, optimization, and neural architecture search to deploy "Modern AI" on efficient compute platforms
Thought Leadership: Maintain a deep awareness of the global AI research landscape. You will bring the best ideas from the academic community into ADI and mentor junior engineers
Qualification
Required
PhD degree in Computer Science, Electrical Engineering, or related area
3+ years of industry experience translating complex theory into working systems
Deep technical mastery of modern architectures such as Transformers, State Space Models (e.g., Mamba), and Diffusion Models
Comfort with advanced training paradigms such as Self-Supervised Learning (SSL), Reinforcement Learning, and Flow Matching
Understanding of techniques for learning from limited data (few-shot/meta-learning)
Ability to understand the mathematics behind these methods and adapt them to novel modalities
Expert-level proficiency in PyTorch or JAX
Experience in developing, deploying, and optimizing models using modern frameworks and cloud platforms
Ability to navigate the ambiguity of early-stage innovation with creative persistence
Ability to translate open challenges into concrete technical roadmaps
Ability to excel at decision-making under uncertainty
Ability to justify how architectural trade-offs directly address the problem and create value
Preferred
Experience with model quantization, distillation, or deploying to embedded targets
Knowledge of signal chains, digital signal processing, and fundamental circuit concepts
Comfort discussing Fourier transforms, noise floors, and sampling rates
Strong publication record in top conferences and/or journals
Benefits
Medical, vision and dental coverage
401k
Paid vacation
Holidays
Sick time
Other benefits
Company
Analog Devices
Analog Devices (NYSE: ADI) defines innovation and excellence in signal processing. ADI's analog, mixed-signal, and digital signal
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$4.6MKey Investors
U.S. Department of Defense
2025-04-11Post Ipo Debt
2024-09-18Grant· $4.6M
2012-04-02IPO
Leadership Team
Vincent Roche
Chief Executive Officer and Chair of the Board of Directors
John Hassett
SVP Industrial & Consumer Group
Recent News
2026-01-24
2026-01-23
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