AI Research Scientist - Infrastructure Engineer, Reinforcement Learning

• Design and implement distributed RL training stacks (data parallel, pipeline parallel, or hybrid) integrated with AMD’s schedulers and storage
• Build high-throughput rollout workers, trajectory stores, and reward computation pipelines with versioning and audit trails
• Instrument jobs for debugging (NaNs, stragglers, OOMs), implement autoscaling and preemption-safe checkpointing
• Collaborate with research scientists on experiment templates, hyperparameter sweeps, and safe promotion paths from research to wider team use
• Drive reliability: on-call rotations, runbooks, and postmortems for infra incidents affecting RL training, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

You profile before you optimize; you treat researcher time as expensive as GPU time. You communicate SLAs, capacity plans, and incident patterns clearly and partner on cost-quality tradeoffs., * Strong systems track record in machine learning (ML) platforms with deep systems expertise and demonstrated technical impact.

• Deep experience with PyTorch (or JAX), NCCL/MPI-style distributed training, and GPU cluster orchestration
• Prior ownership of RL training infra, LLM post-training pipelines, or large-scale experiment management
• Proficiency in C++/Python performance tuning, I/O optimization, and containerized workloads, * Bachelor’s degree required; Master’s or PhD preferred in Computer Science for research-heavy collaboration depth is preferred.

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.