Senior Staff Software Development Engineer- GPU/AI/ML

Advanced Micro Devices-posted 3 months ago
Senior
Hybrid • Santa Clara, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing
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We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance.

  • Architect and Drive the AI Software Stack: Establish best practices and optimize performance from the lowest-level GPU kernels to large-scale distributed systems, shaping the foundational software for AMD hardware.
  • Accelerate Foundational Models: Directly accelerate cutting-edge applications like foundation models (LLMs) and autonomous AI agents, ensuring AMD is the platform of choice for the most demanding workloads.
  • Innovate Across Hardware and Software: Contribute to the entire co-design lifecycle, from influencing future GPU architectures to developing groundbreaking software for new accelerators and collaborating with the broader AI community.
  • Exceptional technical expertise in high-performance C++ software engineering and low-level GPU programming.
  • Robust understanding of Large Language Models (LLMs) and AI systems.
  • Mastery in designing complex, scalable systems using modern C++, coupled with a fundamental grasp of GPU architectures (HIP/CUDA), memory hierarchies, and kernel optimization.
  • Significant hands-on experience in large-scale C++/HIP/CUDA projects.
  • Deep understanding of LLMs, including transformer architectures, attention mechanisms, and the full model lifecycle.
  • Hands-on experience in advanced model alignment and post-training techniques like Supervised Fine-Tuning (SFT) and Reinforcement Learning.
  • Familiarity with cutting-edge trends such as Mixture-of-Experts (MoE) architectures and inference optimizations.
  • Experience or deep expertise with the AMD ROCm/HIP ecosystem.
  • Experience and interest in code generation and/or self-improving LLMs.
  • AMD benefits at a glance.
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