Storage Systems Research Scientist Intern

IBM

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Work type
On-site
Location
—
Employment
Intern
Posted
3 days ago
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Confirmed live yesterday

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How this pay compares to similar roles

Similar $171k
$101k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $114,400–$226,750.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 455 open roles on FindRole.

Listed pay typically runs $175,656–$211,800 across 7 roles with salary data.

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TL;DR · Storage Systems Research Scientist Intern

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As a Storage Systems Research Scientist Intern 2027 at IBM Research, you will join a team pioneering next-generation storage systems specifically designed for AI and agentic AI. You will conduct innovative research at the intersection of AI, systems, and storage to address fundamental challenges in performance, scalability, and efficiency. Your daily work involves the full industrial research cycle, including developing novel ideas, designing systems, building prototypes, evaluating performance at scale, and publishing findings in scientific venues. The role requires proficiency in Python, Go, Bash, Rust, and C++, along with experience in Linux environments using Kubernetes, Docker, and Git. You will apply your knowledge of the storage stack, performance measurement, and benchmarking to solve complex problems involving distributed systems, high-performance storage, GPU programming, and LLM technologies like distributed inference and KVCache.

Skills

Python Go Rust C++ Linux Kubernetes Docker Git Bash LLM Distributed Systems Storage Systems GPU Programming High-Performance Computing Hybrid Cloud Quantum Computing

What you'll do

  • Conduct innovative research at the intersection of AI, systems, and storage technologies.
  • Tackle fundamental challenges in performance, scalability, and efficiency for next-generation storage systems.
  • Develop novel ideas and system designs for agentic AI applications.
  • Build prototypes and evaluate system performance at scale.
  • Demonstrate real-world impact of research findings through practical implementation.
  • Publish research findings in leading scientific venues.
  • Perform system performance measurement, benchmarking, and analysis.

What we're looking for

  • Master's Degree (preferred).
  • Currently pursuing a degree in Computer Science, Engineering, or a related field with a focus on systems or systems and AI.
  • Experience with system performance measurement and analysis.
  • Proficiency in Python, Go, Bash, and Rust programming languages.
  • Ability to use, administer, and program for Linux environments including knowledge of the storage stack.
  • Proficiency with Kubernetes, Docker, and Git tools and platforms.
  • Knowledge of LLM technology, distributed systems, GPU programming, high-performance storage, and C++ (preferred).

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