Principal / Senior GPU SW Performance Engineer — Post‑Training in San Jose, California | Advanced Micro Devices, Inc
Amd
At a glance
AI generatedAs a senior software engineer on the AMD Instinct GPU team, you will drive performance for post-training workloads by optimizing finetuning and reinforcement learning (RL) training solutions across data loaders, kernels, distributed training, and compilers. Your daily tasks include enhancing throughput, memory efficiency, and stability in multi-GPU/multi-node environments while contributing efficient kernels and targeted graph-level optimizations. You will profile, diagnose, and resolve bottlenecks using standard tooling to prevent regressions in continuous integration (CI) systems, ensuring reproducible pipelines and documentation are adopted by internal teams and external developers. Ideal candidates have experience with GPU performance engineering for deep learning on ROCm/HIP or similar platforms, hands-on expertise with SFT, LoRA, and RL-based training at scale, strong PyTorch skills, proficiency in Python and C++, and a track record of turning profiles into fixes and documenting results.
Skills
What you'll do
What we're looking for
Market check
This $240,000–$240,000 range sits above 85% of similar postings on FindRole.
Peer median band
$168,000–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$168,500–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has 80 open roles on FindRole.
Listed pay typically runs $176,400–$176,400 across 80 roles with salary data.
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