Pacific Northwest National Laboratory · 1 day ago
PhD Intern - Continuum Computing
Pacific Northwest National Laboratory (PNNL) is a world-class research institution focused on scientific research and innovation. They are seeking a PhD intern for Spring 2026 to work on High Performance Computing and Inference of Large Language Models, contributing to high-quality research and peer-reviewed publications.
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Responsibilities
Design efficient KV cache management for distributed LLM Inference on FAM-based platforms
Develop hybrid parallelism strategies for LLM inference using low-level programming models and runtimes
Participate in the develop and publication of a peer-reviewed publication to present the proposed techniques
Qualification
Required
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college
Minimum GPA of 3.0 is required
Preferred
Demonstrated research experience
Experience with distributed LLM inference
Experience working with open-source inference engines for distributed serving
Knowledge of GPU profilers and performance analysis methods (including FLOPs/byte and data-movement analysis)
Experience with CXL protocols and related hardware
Benefits
Health insurance
Flexible work schedules
Employee assistance program
Business travel insurance
Company funded pension plan
401k savings plan
Company
Pacific Northwest National Laboratory
Pacific Northwest National Laboratory operates as a government research laboratory.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of Energy
2022-07-14Grant
2018-07-16Grant
Leadership Team
Recent News
Pacific Northwest National Laboratory
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