PhD Machine Learning System Engineering Intern/Co-op
Amd
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How this pay compares to similar roles
This role pays less than 82% of similar roles. Most pay $158,562–$235,750 — the shaded band above. At the midpoint, this role pays about $114k versus about $197k for comparable roles.
Based on 240 similar postings.
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 379 open roles on FindRole.
Listed pay typically runs $166,400–$249,600 across 379 roles with salary data.
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At a glance
As a 2027 PhD AI Systems & GPU Performance Engineering Intern, you will join the team to optimize state-of-the-art AI models, training workflows, and inference applications on AMD Instinct GPUs. You will perform profiling, benchmarking, and optimization of workloads using ROCm, PyTorch, JAX, vLLM, and Triton while identifying bottlenecks in compute, memory bandwidth, communication, and kernel execution. Your daily responsibilities include developing reproducible benchmarking frameworks, automation scripts, and analyzing end-to-end workflows for large language models and generative AI applications through techniques like operator fusion, mixed precision, and quantization. You will utilize Python, C/C++, and Linux environments while leveraging tools such as rocProfiler, Omniperf, and Nsight to evaluate GPU performance. This role focuses on the technical challenge of improving efficiency, scalability, throughput, and latency for next-generation AI training and inference technologies across various hardware and software platforms.
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