About the role
AI summarisedWe are seeking a motivated and innovative Hybrid Quantum-HPC Systems Engineer to lead the operational implementation and management of hybrid quantum-classical computing systems. This role focuses on workload scheduling, workflow management, and resource optimization while staying updated on cutting-edge research. Collaboration with internal R&D teams and external vendors to develop, deploy, and maintain solutions is key.
ResearchOnsiteNational Supercomputing Centre
Key Responsibilities
- Conduct literature and technology scans on hybrid quantum-classical computing, workload scheduling, and workflow management to identify improvements.
- Collaborate with internal R&D teams to define operational requirements and provide feedback on system useability, performance, and scalability.
- Deploy, test, operate, and maintain scheduling and workflow management systems developed by the R&D team.
- Monitor system performance, identify bottlenecks, and implement necessary fixes or optimizations.
- Engage with commercial vendors to convey internal R&D insights and operational experiences, influencing product roadmaps.
- Communicate effectively with multidisciplinary teams and external partners, bridging operational and technical perspectives.
Requirements
- 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 or shell scripting for system configuration and automation.
- Proven ability to synthesize findings from literature scans into actionable ideas.
- Demonstrated experience collaborating with researchers to align operational needs with technical solutions.
- Excellent communication skills for engaging multidisciplinary teams and external stakeholders.
- Willingness and ability to learn and adapt to new technologies in rapidly evolving fields.