AI/ML Storage Infrastructure Engineer

Job Summary

A company is looking for an AI and ML Storage Infrastructure Software Engineer, GPU Clusters.

Key Responsibilities

• Collaborate with AI and ML research teams to identify and resolve storage infrastructure needs
• Monitor and optimize infrastructure performance for high availability and efficient resource utilization
• Define and improve measures of AI researcher efficiency related to storage

Required Qualifications

• BS or equivalent experience in Computer Science or related field, with 6+ years of experience in AI/ML and HPC workloads
• Hands-on experience with HPC infrastructure and knowledge of accelerated computing and storage technologies
• Expertise in running large-scale distributed training workloads using frameworks such as PyTorch or JAX
• Proficiency in programming languages like Python, Go, and Bash, and familiarity with cloud computing platforms
• Passion for continuous learning in AI/ML infrastructure technologies