Hybrid Quantum-HPC Systems Engineer

Hybrid Quantum-HPC Systems Engineer (Software and Workflow Management), NSCC
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Hybrid Quantum-HPC Systems Engineer (Software and Workflow Management), NSCC
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A*STAR - Agency for Science, Technology and Research
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Hybrid Quantum-HPC Systems Engineer (Software and Workflow Management), NSCC
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Hybrid Quantum-HPC Systems Engineer (Software and Workflow Management), NSCC
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A*STAR - Agency for Science, Technology and Research
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Job Summary:
We 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. A willingness to learn, adaptability, and a strong understanding of hybrid quantum-classical workloads and their characteristics are critical.
Job Summary:
We 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. A willingness to learn, adaptability, and a strong understanding of hybrid quantum-classical workloads and their characteristics are critical.
Roles and 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.
Qualifications:
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).
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Research Services
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