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# AI Research Scientist - Infrastructure Engineer, Reinforcement Learning

- **Company:** Advanced Micro Devices, Inc.
- **Location:** Santa Clara, CA, United States
- **Salary:** $204,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, Performance Tuning, Software Systems, Management of Software Versions, Reinforcement Learning, Pytorch, Large Language Models, Containerization, Information Technology
- **Published:** July 2, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87630271/1

## About the Role

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.

## Description

* 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.


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