qubitsok.com
Cut Noise. Work Quantum.
Asia, Singapore, Singapore
•
Posted 85 days ago
🏛 A*STAR - Agency for Science, Technology and Research
Role Type
Role Focus
Seniority
Employer Type
This role seeks a Hybrid Quantum-HPC Systems Engineer to manage and implement hybrid quantum-classical computing systems operationally. Key responsibilities include optimizing workload scheduling, workflow management, and resource allocation. The engineer will collaborate closely with internal R&D teams and external vendors to deploy and maintain necessary solutions. Success requires strong adaptability and a deep understanding of hybrid quantum-classical workloads.
Key Responsibilities
Conduct literature and technology scans to identify promising approaches for improving systems and workflows in hybrid quantum-classical computing.
Collaborate with the internal R&D team to define operational requirements and provide feedback on the performance and scalability of developed systems.
Deploy, test, operate, and maintain scheduling and workflow management systems, ensuring they meet operational standards and user needs.
Monitor system performance, identify bottlenecks, and implement necessary fixes or optimizations.
Engage with commercial vendors of scheduling and workflow management systems to influence their product roadmaps based on internal R&D and operational experience.
Required Skills
Strong experience with HPC workload schedulers, such as Slurm or 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 and technology 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.
Nice-to-have Skills
Advanced programming skills in C/C++ or parallel computing.
Technology Tags
The job is centered on leading the operational management of hybrid quantum-classical computing systems.
The role specifically requires strong experience with HPC workload schedulers like Slurm and PBS.
The engineer operates within the rapidly evolving fields of hybrid quantum computing systems and methodologies.
The role involves managing system performance, optimizing resources, and utilizing orchestration technologies like Docker and Kubernetes.
Proficiency in Python and shell scripting is required for system configuration, automation, and advanced programming in C/C++ is a plus.
The required qualifications include knowledge of quantum computing programming frameworks such as Qiskit, Cirq, and Qibo.
A key responsibility is deploying, testing, and maintaining scheduling and workflow management systems developed by the R&D team.