About the role
Hybrid Quantum-HPC Systems Engineer responsible for operational implementation and management of hybrid quantum-classical computing systems, focusing on workload scheduling, workflow management, and resource optimization.
ResearchOnsiteNational Supercomputing Centre
Key Responsibilities
- Conduct literature and technology scans to stay updated on advancements in hybrid quantum-classical computing, workload scheduling, and workflow management.
- Proactively identify promising approaches to improve systems and workflows.
- Collaborate with internal R&D team to define requirements from operational perspective, review developments, and provide feedback on usability, performance, and scalability.
- Deploy, test, operate, and maintain scheduling and workflow management systems developed by R&D team.
- Monitor system performance, identify bottlenecks, and implement fixes or optimizations.
- Engage with commercial vendors to convey insights and requirements, influencing product roadmaps.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Quantum Computing, or related field preferred. Candidates with substantial relevant experience may also be considered.
- Strong experience with HPC workload schedulers (e.g., Slurm, PBS).
- Familiarity with hybrid quantum-classical computing concepts, typical workloads, and workflow characteristics.
- Proficiency in Python / shell scripting for system configuration and automation.
- Advanced programming skills in C / C++ / parallel computing are a plus.
- Proven ability to synthesize findings from literature and technology scans into actionable ideas.