MTS Accelerator System Architect

3 weeks ago


Bengaluru, Karnataka, India Global Talent Exchange Full time
Career Opportunity

As a seasoned professional, you will play a pivotal role in designing, simulating, and accelerating accelerator architecture. Your responsibilities will encompass collaborating with multifunctional engineering teams to identify opportunities and requirements. Key tasks include:

  • Developing performance, functional, and power models for accelerator architecture exploration and verification, focusing on Analog AI using in-memory computing with non-volatile memory technologies.
  • Creating tests, test plans, and testing infrastructure to verify new algorithms and functionality, as well as their performance.
  • Assessing new SW/HW innovations and driving the most relevant into the accelerator architecture definition.
  • Researching industry trends and customer requirements of machine learning algorithms and accelerators, and driving partnerships for access to advanced technologies.

Requirements

  • Minimum 12+ years of experience with a bachelor's degree in CS/EE/Math or equivalent; a master's or Ph.D. degree is highly desirable.
  • 5+ years of experience in performance simulation and modeling in modern C++/Python, with the ability to deliver production-quality, well-documented code.
  • Experience in modeling and benchmarking machine learning models on accelerator simulator models.
  • Familiarity with machine learning frameworks and interfaces, such as ONNX, TensorFlow, and PyTorch, with a strong preference for PyTorch.
  • Knowledge of CPU, GPU, and 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 highly desirable.
  • Experience with DRAM and its architecture and circuit design is a plus.
  • Experience in approximate compute, analog compute is a plus.
  • Experience with hardware and RTL implementation (Verilog/System Verilog) is a plus.
  • Familiarity with OpenCL, CUDA, Metal, or other parallel programming APIs is a plus.
  • Strong passion for new technologies and innovation, with excellent communication skills.


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