Accelerator System Architect

4 weeks ago

Hyderabad, Telangana, India Micron Full time

Transforming Information into Intelligence

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Micron India Research Center is a part of the Technology Pathfinding and Strategy group at Micron India. Our goal is to contribute to Micron's pathfinding in multiple areas like Devices and circuits, Systems and AI-ML with enhanced multi-functional collaboration.

Key Responsibilities:

  • Architect, simulate, and design accelerator architecture, interacting with multi-functional engineering teams to find opportunities and requirements.
  • Implement performance, functional, and power models for accelerator architecture exploration and functional verification, including analog AI using in-memory computing with non-volatile memory technologies.
  • Develop tests, test plans, and testing infrastructure to verify new algorithms and functionality and their performance.
  • Assess new SW/HW innovations and drive the most relevant into the accelerator architecture definition.
  • Research industry trends and customer requirements of machine learning algorithms and accelerators, driving partnerships for access to the most advanced technologies.

Qualifications and Skills:

  • Minimum 12+ years of experience with a bachelor's degree in CS/EE/Math or equivalent, with a master's or PhD degree being a plus.
  • 5+ years of experience with performance simulation and modeling in modern C++/Python, with the ability to deliver production-quality and well-documented code.
  • Experience in modeling and benchmarking machine learning models on accelerator simulator models.
  • Experience in machine learning frameworks and interfaces, such as ONNX, TensorFlow, and PyTorch, with PyTorch being a plus.
  • Knowledge/experience in CPU/GPU/domain-specific accelerators architecture, with a focus on data-path, fixed-point arithmetic, scheduler, memory system, and network-on-chip interconnection design.
  • Experience with NAND Flash Memory and its architecture and circuit design is a big plus.
  • Experience with DRAM and its architecture and circuit design is a good plus.
  • Experience in approximate compute, analog compute is a good plus.
  • Experience of hardware and RTL implementation (Verilog/System Verilog) is a good plus.
  • Experience in OpenCL/CUDA/Metal or other such parallel programming APIs is a good plus.
  • Passionate about new technology and innovation with strong communication skills.

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