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Analog Devices · 4 days ago

Principal AI System Architect and Researcher

Boston, MA

Full-time

Onsite

Lead/Staff

$193K/yr - $265K/yr

10+ years exp

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 Principal AI System Architect to lead the design of AI workloads and SOC Heterogeneous compute architecture, collaborating with various teams to ensure optimal performance and efficiency in edge AI compute solutions.

DSPElectronicsLightingSemiconductor

No H1B

U.S. Citizen Only

Responsibilities

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 HW requirements for supporting multi-function for 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

Qualification

AI model architectureHeterogeneous computeDigital twin simulationEmbedded AI/MLSnntorchPyTorchTensorFlowCUDAC/C++PythonSystem-level designRoboticsDronesArchitectureSimulation

Required

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 Codesign AI workload with Compute& Memory

Proficient with multiple frameworks, including Snntorch, PyTorch, TensorFlow, 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

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