Advanced Micro Devices, Inc.-posted about 1 month ago
Full-time • Mid Level
Santa Clara, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Do you want to help build the AI software that runs on top of the world's fastest supercomputers and most advanced data centers? At AMD, we are looking for passionate and talented Software Engineers to join our team. You will help develop cutting-edge technology that pushes the boundaries of performance and efficiency for the next generation of GPU accelerators. This is an opportunity to contribute to open-source AI software from AMD and the broader community, driving innovation and enhancing AI performance across data center GPUs. You are a talented engineer who is passionate about advancing the frontiers of AI. You thrive in open-source environments, enjoy tackling complex technical challenges, and take pride in writing efficient, maintainable, and scalable software. You are collaborative, curious, and excited to contribute to the open-source repositories that power the next generation of AI workloads.

  • Contribute to RAG, Ray, ROCm, Coding Agent, DGL, llama.cpp, verl, MegaBlocks, FlashInfer, Triton Inference Server, Taichi, and other merging open-source projects driving AI innovation.
  • Collaborate with leading partners and open-source communities to enable AI workloads and improve performance on data center GPUs.
  • Experience with C++, Python, or similar programming languages.
  • Knowledge of AI training and inference.
  • Familiarity with GPU programming (CUDA, HIP, or OpenCL) and performance optimization techniques.
  • AMD benefits at a glance.
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