Senior Staff Software Engineer

6 days ago

San Jose, California, United States AMD Full time
Transforming Lives with AMD Technology

We are passionate about using technology to enrich our industry, communities, and the world. Our mission is to build innovative products that accelerate next-generation computing experiences, from the data center to PCs, gaming, and embedded systems. At AMD, we push the limits of innovation to solve the world's most pressing challenges, striving for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

The Role

We are seeking a world-class AI frameworks and compiler engineer to provide technical leadership in the development of various AI frameworks in the AMD ecosystem. As a key member of our team, you will drive technical direction for next-generation frameworks for AI model training and inference on a wide variety of AMD devices, including MI Instinct, Radeon GPUs, XDNA devices, and datacenter CPUs such as EPYC. You will work to enhance AI framework capabilities to enable cutting-edge models on AMD's cutting-edge hardware.

The Person

If you are passionate about AI/ML frameworks, software architecture, and/or compilers, this is your opportunity to join our team. You will work in one of the core areas, such as AI/ML frameworks components (e.g. PyTorch, TensorFlow, ONNX/OnnxRuntime), AI compiler and runtime, and/or optimization tooling to accelerate AI/ML workloads on AMD hardware platforms. You will collaborate closely with AI researchers to drive the development of framework components to efficiently map AI models to run on a variety of HW AI accelerators. You should be someone who can work in a dynamic, fast-paced development environment, with excellent leadership and collaboration skills.

Requirements
  • Experience with development in one of the focus areas: AI frameworks, AI compiler stack, and/or performance tuning and optimizations for workloads running on ML accelerator HWs.
  • Experience with ML frameworks such as PyTorch, OnnxRuntime, JAX, TensorFlow.
  • Proficient in C++ programming.
  • Experience developing and debugging in Python.
  • Excellent skills at designing Python tools and libraries used by large numbers of users.
  • Experience with AI model architectures, e.g. Transformers, CNNs.
  • Team player and ready to work with a geographically distributed team.
Preferred Experience
  • Highly preferred - knowledge of custom accelerator hardware.
  • Depth of experience with AI compilers, dataflow graphs, MLIR, and dialects, compiler optimizations, hardware-specific optimizations.
  • Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus.
  • Depth of experience with model optimization, including quantization, sparsity.
  • Solid understanding of transformer architecture, LLMs, MoE.
  • Experience on LLMs/LMMs finetuning, distillation, and/or RLHF.
Academic Credentials

BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.

Location

San Jose, CA

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