Requisition ID: 593Posting Start Date: 01/04/2026About the role As our HPC AI Engineer, you will be a key expert supporting researchers in leveraging our new supercomputer system for large-scale artificial intelligence. You will support and optimise massive AI application workloads, working with performance engineers to profile AI applications and establish best practices. Your work will directly enable national-scale projects in multimodal AI, healthcare, and AI for Science.RESPONSIBILITIESProvide HPC and scientific domain advice to users of NSCC systems.Engage and collaborate with new researchers, communities, and disciplines with computationally intensive requirements.Support and optimise large-scale AI application workloads.Work with HPC performance engineers to profile and build performance models of the AI applications and workflows.Design, develop and implement HPC software best practices for AI applications and workflows.Assist in the planning and design of future HPC systems, including benchmarking AI workloads on various platforms and recommending the most suitable architecture for the research community.Analyse system and user job data for efficient resource allocation and management.Develop HPC utilities, dashboards and automated testing tools for NSCC HPC systems.Develop HPC user and best practice guides for NSCC HPC systems.Get up-to-date with scientific domain research development, HPC system and software technologyQUALIFICATIONSBachelor degree in the field of computer science, computer engineering, or other relevant areas.Proven working knowledge of models and algorithms in at least one area of generative models, computer vision, graph neural networks, or AI for Science applications.Ideally, 3 years of experience in developing codes for AI training and inference.Experience in setting up AI software stacks, familiar with diversified AI software stacks.Good knowledge in AI application performance optimisation and troubleshooting.Strong programming skills in Python; familiar with C/C++ programming is a plus.Familiar with the working and using of AI frameworks (e.g. PyTorch, Tensorflow, JAX) for research.Familiar with GPU architectures and programming is highly desired.Familiar with Linux environment, scripting languages, profiler and debugger tools.Familiar with HPC job schedulers and container technologies.Familiar with object storage (S3); familiar with HPC storage (Lustre) is a plus.Demonstrated team player with strong problem-solving skills.Demonstrated effective communication skills including the ability to articulate technical concepts to a diverse range of audiences.Demonstrated ability and willingness to contribute novel ideas and approaches in support of the research communityDemonstrated passion for continuous learning and exploring new technologies or domains.The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.#J-18808-Ljbffr