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A*STAR

Hybrid Quantum-HPC Systems Engineer (Software and Workflow Management), NSCC

A*STAR
ResearchSingaporeOnsitePosted 1 week ago
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About the role

AI summarised

Mid-level engineer responsible for deploying and managing hybrid quantum-HPC systems, focusing on workload scheduling, workflow management, and resource optimization. The role involves close collaboration with R&D teams and external vendors to implement and maintain cutting-edge hybrid quantum-classical computing solutions.

ResearchOnsiteNational Supercomputing Centre

Key Responsibilities

  • Conduct literature and technology scans to stay updated on the latest advancements in hybrid quantum-classical computing, workload scheduling, and workflow management.
  • Proactively identify promising approaches to improve systems and workflows.
  • Collaborate with the internal R&D team to define requirements from an operational perspective, review their developments against these constraints, and provide feedback on system useability, performance, and scalability to influence outcomes.
  • Deploy, test, operate, and maintain scheduling and workflow management systems developed by the R&D team, ensuring alignment with operational standards and user needs.
  • Monitor system performance, identify bottlenecks, and implement fixes or optimizations.
  • Engage with commercial vendors of scheduling and workflow management systems to convey insights and requirements from internal R&D efforts and operational experiences, influencing their product roadmaps.
  • Communicate effectively with multidisciplinary teams and external partners, bridging operational and technical perspectives.

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.
  • Demonstrated experience collaborating with researchers to align operational needs with technical solutions.
  • Excellent communication to effectively engage multidisciplinary teams and external stakeholders.
  • Willingness and ability to learn and adapt to new technologies and methodologies in the rapidly evolving fields of hybrid quantum computing.
  • Knowledge of quantum computing programming frameworks (e.g., Qiskit, Cirq, Qibo), and supporting libraries.
  • Familiarity with containerization / orchestration technologies (e.g., Docker, Singularity, Kubernetes).