Listing details
- Closes Nov 11
- Posted Sep 12
- Last verified Oct 7
About the job
Introduction At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society.
Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.
Your
Role And
Responsibilities Join a team pioneering the next generation of storage systems for AI and agentic AI. In this role, you will conduct innovative research at the intersection of AI, systems, and storage, tackling fundamental challenges in performance, scalability, and efficiency. You will contribute across the entire industrial research cycle, from developing novel ideas and system designs to building prototypes, evaluating performance at scale, demonstrating real-world impact, and publishing your findings in leading scientific venues.
Candidates should have a strong interest in systems research and experience with performance measurement, benchmarking, and analysis. Preferred
Education Master's Degree Required Technical And Professional Expertise Currently pursuing a degree in Computer Science, Engineering, or related field (MS/PhD), with a focus on systems or at the intersection of systems and AI; Experience with system performance measurement and analysis; Programming languages: Python, Go, Bash, Rust Using, administering, and programming for Linux environment; Tools and platforms: Kubernetes, Docker, Git; Basic understanding of the storage stack in Linux Preferred Technical And Professional
Experience Understanding of LLM technology, distributed inference, llm-d/vLLM and KVCache in particular; Designing and implementing distributed systems and storage systems; GPU programming; High-performance storage systems; C++ programming language