Analog Devices · 6 hours ago
Staff Research Scientist, AI-Hardware Co-Design
Analog 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 architect solutions that power the next generation of intelligent systems by bridging advanced AI algorithms and hardware implementation.
DSPElectronicsLightingSemiconductor
Responsibilities
Strategic Problem Definition: Collaborate with business leads and domain experts to identify opportunities where intelligent systems—integrating sensing, actuation, and tightly coupled algorithms—can solve previously impossible problems. You will focus on challenges that require holistic system innovation rather than just off-the-shelf components
Research-to-Product: Lead technical execution from architectural design to validated proof-of-concept. You will partner with researchers and hardware engineers to bridge the gap between abstract research ideas and deployable solutions
Feasibility analysis: Act as the "Physics of Compute" anchor for the research team. You will use high-fidelity simulation, modeling, and proof-of-concepts to quantify the impact of memory hierarchy, dataflow, and precision on system performance—distinguishing between viable product paths and impractical research concepts
System-Level Architecture & Co-Design: Drive the simultaneous optimization of algorithms and hardware. You will treat the algorithm and the compute engine as a unified design space, adapting neural architectures to exploit specific hardware capabilities while selecting the optimal compute substrate—from ultra-low-power MCUs to custom accelerators—to meet strict power and area constraints
Thought Leadership: Maintain a deep awareness of the evolving AI hardware and algorithm landscape. You will bring the best ideas from the academic and industrial communities into ADI, mentoring junior engineers and guiding the team toward state-of-the-art compute paradigms
Qualification
Required
PhD specialized in Computer Architecture or Integrated Circuit Design for AI workloads
3+ years of industry experience applying architectural principles to real-world engineering constraints
Deep understanding of how to organize computation and data
Experience leading the design of complex AI SoCs or validating novel architectures through rigorous, cycle-accurate simulation
Ability to optimize memory hierarchies, on-chip networks, and execution models to solve complex data movement and efficiency challenges
Deep expertise in hardware-aware deep learning
Proficiency in modern frameworks (PyTorch, JAX)
Capability of training or fine-tuning models to validate architectural hypotheses
Mastery of optimal mapping of computational graphs to silicon, orchestrating dataflow, tiling, and quantization (INT8, mixed-precision)
Ability to navigate the ambiguity of early-stage innovation with creative persistence
Strong decision-making skills under uncertainty
Proven Silicon Execution with experience in successfully taping out a complex SoC or a custom AI accelerator
Understanding of physical design constraints from timing closure to power delivery
Comfort discussing Fourier transforms, noise floors, and sampling rates
Understanding of the intersection of classical Digital Signal Processing (DSP) and deep learning
Familiarity with Verilog/SystemVerilog or modern hardware construction languages (Chisel, PyMTL)
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
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
Recent News
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2026-01-23
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