A*STAR Research
AI Optimization Engineer for HPC Systems
Job Description
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 environment.
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 • Profici...
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 • Profici...