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.
Required education
Bachelor's Degree
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
OTHER RELEVANT JOB DETAILSSupplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
