Principal ML Engineer - Scale Training Optimization; JAX

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Principal Large Scale Training Performance Optimization Engineer

We are looking for a Principal Machine Learning Engineer to join our Models and Applications team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI at scale.

The ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, Expert Parallel ZeRO), and be familiar with training large models at scale.

• Train large models to convergence on AMD GPUs at scale.
• Improve the end‑to‑end training pipeline performance.
• Optimize the distributed training pipeline and algorithm to scale out.
• Contribute your changes to open source.
• Stay up‑to‑date with the latest training algorithms.
• Influence the direction of AMD AI platform.
• Collaborate across teams with various groups and stakeholders.

• Experience with ML/DL frameworks such as PyTorch, JAX, or Tensor Flow.
• Experience with distributed training and distributed training frameworks, such as Megatron‑LM, Max Text, Torch Titan.
• Experience with LLMs or computer vision, especially large models, is a plus.
• Experience with GPU kernel optimization is a plus.
• Excellent Python or C++ programming skills, including debugging, profiling, and performance analysis at scale.
• Experience with ML infra at kernel, framework, or system level.
• Strong communication and problem‑solving skills.

• A master's degree or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• San Jose, CA or Bellevue, WA preferred. May consider other US markets within proximity of US AMD offices.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.