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 needsOptimize AI workloads for performance efficiencyDevelop HPC dashboards and testing utilitiesAssist in planning future HPC architecturesProduce best practice documentation for usersRequirements:Degree in Computer Engineering or related field3 years' experience in AI development recommendedProficient in Python; knowledge of C/C++ appreciatedFamiliar with AI frameworks and GPU programmingStrong communication and teamwork skillsElevate AI research capabilities by providing optimized support and developing effective HPC solutions for diverse projects.

📌 Ai Optimization Engineer For Hpc Systems (Shubenacadie)
🏢 A*STAR Research
📍 Shubenacadie