Fellow, AI Workload Optimization

Advanced Micro Devices, Inc•Bellevue, WA

About The Position

We are looking for a visionary technical leader to join the AI Software group. As a Fellow, you will be accountable for defining and driving the end-to-end software optimization strategy to achieve industry-leading performance for our top-tier customers. You will sit at the intersection of architecture, customer engagement, and software engineering, ensuring that AMD’s software stack—from ROCm and compilers to high-level AI frameworks—is tuned to extract maximum performance for the world's most demanding AI workloads.

Requirements

15+ years of software development experience with at least 5 years in a high-level technical leadership role (Fellow or equivalent).
Deep expertise in AI Frameworks (PyTorch, JAX, vLLM, SGLang) and the ROCm software stack.
Proven history of optimizing distributed inference and training at scale across multi-node/multi-GPU environments.
Mastery of performance profiling tools (e.g., TorchProfiler, ROCm Profiler, Nsight) and hardware-level performance modeling.
Strong understanding of modern model architectures (Transformer, Attention, KV Cache) and optimization techniques like quantization, speculative decoding, and FlashAttention.
Demonstrated ability to drive cross-functional initiatives in fast-paced, ambiguous environments.
PhD or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Demonstrated research or applied experience in AI/ML, including areas such as deep learning, model training/inference optimization, large language models, or computer vision.

Responsibilities

Set the technical vision and roadmap for workload optimization across the AI software stack, ensuring AMD remains the platform of choice for top-tier AI customers.
Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE) to ensure "out-of-the-box" performance excellence on AMD hardware.
Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations.
Collaborate across hardware architecture, compiler, and framework teams to influence future silicon features based on evolving AI workload trends.
Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting.
Act as a technical ambassador in industry forums and open-source communities. Mentor and inspire the next generation of AMD’s technical leaders and engineers.