qubitsok.com
Cut Noise. Work Quantum.
Americas, United States, Yorktown Heights
•
Posted 142 days ago
🏢 IBM
Role Type
Role Focus
Seniority
Employer Type
This internship at IBM Research involves working within the Hybrid Cloud Infrastructure Research group. The intern will focus on developing next-generation storage systems specifically designed for Agentic AI and Quantum computing tasks. This role encompasses the entire research cycle, from initial ideas and design to creating prototypes, demonstrating their benefits, and contributing to scientific publications and intellectual property protection.
Key Responsibilities
Build next-generation storage systems to meet the demands of Agentic AI and Quantum computing workloads.
Conduct the full industrial research cycle, from ideation and design to prototyping solutions.
Demonstrate the benefits of new storage solutions, contributing to scientific publications and intellectual property protection.
Required Skills
Strong system design skills
Software systems, storage, and platforms building experience
Programming languages: C++, C, Golang, Python, Rust, Shell
Linux user-space or kernel development
Software development tools (e.g., git) and processes (e.g., code review)
Nice-to-have Skills
Distributed systems and data storage (file, block, or object storage)
Cloud infrastructure
Cloud-native and container technologies (Docker, Kubernetes, Application Containerization, Operators)
Basic understanding of LLM training and inference, experience with vLLM
Programming for GPUs, TPUs, and other host-attached ML accelerators
System measurement and performance analysis skills
Networking (overlay, underlay, local, wide-area)
Technology Tags
The role involves building next-generation storage systems within a hybrid cloud infrastructure and managing distributed systems and networking.
The job explicitly requires proficiency in multiple classical programming languages such as C++, C, Golang, Python, and Shell.
Rust is specifically listed as one of the required programming languages for this role.
The primary focus of the role is to develop storage systems that address the specific needs of Quantum computing workloads.
The storage systems being built are intended to support various Quantum computing workloads, implying diverse applications of quantum computing.
The role involves addressing the storage needs of Agentic AI workloads, which include machine learning approaches like LLM training and inference.
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