Step into a vital role as an AI Optimization Engineer for HPC Systems. Focus on maximizing research efficiency by refining AI workflows within a high-performance computing setting.
In this position, you'll collaborate closely with researchers to deliver tailored HPC solutions that meet complex computational demands. Your expertise in AI application performance will guide the design of benchmarks and best practices for future HPC deployments. Additionally, you'll develop utilities and tools to streamline research efforts and enhance user experience within HPC environments.
Key Responsibilities
Collaborate with users on computational AI needs
Optimize AI workloads for performance efficiency
Develop HPC dashboards and testing utilities
Assist in planning future HPC architectures
Produce best practice documentation for users
Requirements:
Degree in Computer Engineering or related field
3 years' experience in AI development recommended
Proficient in Python; knowledge of C/C++ appreciated
Familiar with AI frameworks and GPU programming
Robust communication and teamwork skills
Elevate AI research capabilities by providing optimized support and developing effective HPC solutions for diverse projects.
📌 Ai Optimization Engineer For Hpc Systems Admiral Rock
🏢 A*STAR Research
📍 Admiral Rock
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