Principal AI System Architect and Researcher

Principal AI System Architect and Researcher

4 days ago
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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™.

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We are building a pioneering organization dedicated to advancing the next generation of Edge AI compute. We are seeking a Principal AI System Architect to take a leading role in shaping our AI workload and SOC heterogeneous compute architecture. In this position, you’ll dive deep into applications and use cases, helping us identify the most suitable AI workloads and AI model architectures for optimal compute and memory performance.

You’ll also drive a proof‑of‑concept project using digital twin simulation and explore research in SSM and SNN AI workloads for maximum efficiency. Your expertise will help develop a heterogeneous compute solution that integrates various emergent compute modalities. You’ll collaborate closely with the SOC architect, Embedded AI team, and internal and external hardware teams (Analog, RTL Designers) to ensure seamless co‑design (hardware and AI), ensuring that compute cores and AI models work together smoothly to deliver state‑of‑the‑art PPAL.

• Translate applications and use cases to AI workloads and model architectures for edge computing, optimizing power efficiency and ensuring high success rates in task completion.
• Re‑architect AI workloads and co‑design solutions using diverse, heterogeneous compute modalities beyond traditional methods.
• Drive breakthroughs by converting ANN models (such as CNNs and Transformers) to those that operate efficiently with reduced memory using paradigms like SNN, SSM, sparsity, or RNN.
• Create and maintain detailed architecture documentation, concluding all hardware requirements for supporting multi‑function end applications.
• Drive a proof of concept using a digital twin simulation, and explore ways to leverage open‑source AI models and datasets.
• Co‑design AI models with the most suitable compute paradigms and ensure the coexistence of multiple compute solutions.
• Collaborate with startups to explore ways to leverage their IP for ADI needs.
• Partner with Embedded AI/ML and System Engineering teams to ensure a successful POC.

• PhD degree in electrical engineering, computer engineering, computer science, or a related field.
• 10+ years of advanced experience in AI model architecture, ANN/SNN/SSM/sparsity and co‑design AI workload with compute & memory.
• Proficient with multiple frameworks, including Snntorch, PyTorch, Tensor Flow, CUDA, C/C++, and Python.
• Deep understanding of system‑level design, including Analog/RTL, firmware, AI, and tools for embedded and edge deployment.
• Skilled at translating complex technical solutions to managers and executives in a clear and intuitive way.
• 3+ years of proven experience in robotics, drones, AI model development, architecture, and simulation (Isaac Sim, Air Sim) – Big Advantage.

Required Travel: 10% of the time
• Shift Type: 1st Shift / Days

The expected wage range for a new hire into this position is $192,800 to $265,100.

• 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, 401(k), paid vacation, holidays, and sick time, and other benefits.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S.…