What are the responsibilities and job description for the Senior Software Developer for Quantum-Centric Supercomputing position at IBM?
Introduction
Required Skills
We are seeking a software developer to build integration software enabling hybrid HPC–Quantum workflows, resource management systems, and interfaces that orchestrate workloads across classical and quantum compute backends. In this role you will:
Design, develop, and implement components of workflow orchestration software and libraries for hybrid HPC–Quantum systems.
Develop and maintain 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.
Doctorate Degree
Required Technical And Professional Expertise
Preferred skills
Required Skills
- Strong proficiency in Python and experience with modern software engineering practices
- Strong proficiency in at least one systems programming language (e.g., C, C , Rust)
- Collaborative mindset, able to serve as a bridge between various research organizations, clients, and vendors
- Proven ability to understand user requirements, implement and release software accordingly, and manage post-release maintenance including feature enhancements and bug fixes
- Strong communication skills and ability to work across different teams, internal and externally
We are seeking a software developer to build integration software enabling hybrid HPC–Quantum workflows, resource management systems, and interfaces that orchestrate workloads across classical and quantum compute backends. In this role you will:
Design, develop, and implement components of workflow orchestration software and libraries for hybrid HPC–Quantum systems.
Develop and maintain 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.
Doctorate Degree
Required Technical And Professional Expertise
- Strong proficiency in Python and experience with modern software engineering practices
- Strong proficiency in at least one systems programming language (e.g., C, C , Rust)
- Collaborative mindset, able to serve as a bridge between various research organizations, clients, and vendors
- Proven ability to understand user requirements, implement and release software accordingly, and manage post-release maintenance including feature enhancements and bug fixes
- Strong communication skills and ability to work across different teams, internal and externally
Preferred skills
- Hands-on experience with HPC software (e.g., OpenMP, MPI, GPU) and resource managers (e.g., Slurm, PBS, Grid Engine)
- Solid understanding of quantum circuits, gates, and compilation concepts in quantum computing
- Experience with quantum computing frontends and related ecosystems (e.g., Qiskit, OpenQASM, CUDA-Q)
- Expertise with Linux systems, including performance analysis, resource management, inter-process communication, and development/debugging workflows
Salary : $161,000 - $276,000