Hpc Ai Engineer, Frontier, Nscc

Agency for Science, Technology and Research – Queenstown

Responsibilities

Provide 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 technology.

Qualifications

Bachelor's 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.

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