Research Intern 2027 – Quantum-HPC Integration

IBM Research advances AI, hybrid cloud, high-performance computing, and quantum computing through research and development. The Research Intern will build integration software for hybrid quantum-HPC workflows, including workflow orchestration, resource management, scheduling APIs, and interfaces connecting HPC systems with quantum runtimes.

What you'll do:

• Design, develop, and implement components of workflow orchestration software and libraries for hybrid quantum-HPC systems
• Design and develop resource management, scheduling, and workload coordination APIs across distributed systems
• Define, implement, and evolve robust interfaces between HPC job schedulers (e.g., Slurm, LSF) and quantum runtimes
• Develop tools in Python, Rust, and C to support interoperability, data movement, workflow resilience, and runtime monitoring
• Collaborate with system architects, HPC engineers, and quantum software teams, as well as external researchers, to align workflows with system capabilities and performance goals
• Participate in open-source development workflows including documentation, testing, design reviews, and release processes
• Contribute to internal engineering practices such as CI/CD, performance instrumentation, and interface design

What they're looking for:

• Proficiency in Python and experience with modern software engineering practices
• Proficiency in at least one systems programming language (e.g., C, C++, Rust)
• Collaborative mindset
• Bachelor's Degree
• Hands-on experience with HPC software (e.g., OpenMP, MPI, GPU) and resource managers (e.g., Slurm, PBS, Grid Engine)
• Experience with quantum computing frontends and related ecosystems (e.g., Qiskit, OpenQASM, CUDA-Q)
• Able to serve as a bridge between various research organizations, clients, and vendors
• Ability to understand user requirements, implement and release software accordingly, and manage post-release maintenance including feature enhancements and bug fixes

Benefits:

• Unique opportunities to develop software supporting the future of compute while growing professionally within a team defining cutting-edge technology