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# Principal/Senior GPU Software Performance Engineer - Post-Training

- **Company:** Advanced Micro Devices, Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Engineering, Distributed Systems, Python (Programming Language), Graphics Processing Unit (GPU), Pytorch, Deep Learning, Information Technology, Software Performance
- **Published:** May 16, 2026
- **Apply:** https://www.nettemps.com/us/en/W4755F66C5ABEABF585.ntap

## About the Role

* Proven GPU performance engineering for deep learning (ROCm/HIP, Triton, or similar).
 * Hands-on with SFT. LoRA and RL-based training at scale.
 * Strong PyTorch experience (torch.distributed, FSDP/ZeRO or equivalent).
 * Proficient in Python and C+; comfortable reading/writing kernels when needed.
 * Experience with distributed systems and collective communication libraries.
 * Track record of turning profiles into fixes, upstreaming changes, and documenting results.

ACADEMIC CREDENTIALS

 * B.S./M.S./Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

## Description

* Lead performance for finetuning and RL training solutions on AMD GPUs.
 * Improve throughput, memory efficiency, and stability across data, model, and optimizer steps.
 * Optimize multi-GPU/multi-node training and communication patterns.
 * Contribute efficient kernels/ops and targeted graph-level optimizations.
 * Profile, diagnose, and resolve bottlenecks using standard tooling; prevent regressions in CI.
 * Ship reproducible pipelines and documentation adopted by internal teams and external developers.
 * Collaborate with framework, compiler, and model teams to land durable improvements.


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