AI/ML Systems Design Engineer

4 weeks ago

Austin, Texas, United States Advanced Micro Devices , Inc. Full time
Job Summary

We are seeking a highly skilled AI/ML Systems Design Engineer to join our team at Advanced Micro Devices, Inc. in Austin, TX. As a key member of our AI Group, you will be responsible for architecting and defining kernel dataflow, defining block level and system level performance of Neural Processing Unit (NPU), NPU network performance modeling, and performance bottleneck analysis on pre/post silicon platforms.

Key Responsibilities
  • Develop and validate VLIW-based processor systems on both pre-Silicon and post-Silicon platforms based on different use case applications.
  • Work on block & system level performance analysis for VLIW based AI Engine processor architecture.
  • Develop application specific reusable kernel code for AI Engine processors.
  • Functional Verification of use-case applications on pre/post silicon platforms.
  • Solve challenging technical problems with complex SoC based systems that integrate robust algorithms and features.
  • Be involved in all aspects of integrated product development, including design, prototyping, implementation, testing, and product demonstration.
  • Provide feedback on architecture, use cases, IP design, tools, and documentation.
  • Work with cross-functional teams to optimize various parts of the SW stack - AI Compiler, AI frameworks, device drivers, and firmware.
  • Bring up emerging ML models based on CNN, transformers and characterize performance.
  • Lead the discussion in the AI Engines Technical Solutions Team forum.
Requirements
  • Solid knowledge of AI and ML concepts and techniques.
  • Practical experience applying these concepts to solve real-world problems in the context of research or work experience.
  • Understanding the performance implications on AI acceleration of different compute, memory, and communication configurations and hardware and software implementation choices.
  • Developing and optimizing code for VLIW processors.
  • Analyzing code for high performance CONV, GEMM and non-linear operators.
  • Deep understanding of AI frameworks, preferably ONNX.
  • Experience with AI/ML inference stacks such as ONNX Runtime.
  • Proficiency in pre and post silicon performance analysis of ML models for edge and cloud-based platforms.
  • Proficiency in C++ based kernel development for distributed processors.
  • Excellent C/C++ coding skills.
  • Experience in processor performance and memory performance characterization.
  • Experience in system debug tool is plus e.g. using Lauterbach, gdb, Valgrind and other debug tools is required.
  • Experience in TensorFlow, PyTorch, Keras is a plus.
  • Experience with static and dynamic power characterization is a plus.
  • Familiarity with VLIW SIMD vector processor architecture.
Academic Credentials
  • BS or MS with industry experience.
  • PhD in Electrical Engineering or Computer Engineering.

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