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 usersRequirements:
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
Solid communication and teamwork skillsElevate AI research capabilities by providing optimized support and developing effective HPC solutions for diverse projects.#J-18808-Ljbffr

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