HPC Systems Engineer, AI Workloads

What you'll do

• Develop, implement, and maintain GPU-based clusters to ensure optimal performance.
• Administer ML/AI platforms by managing deployments, resource allocation, monitoring, and security.
• Automate system provisioning and end-to-end cluster management.
• Monitor and evaluate AI system performance against industry best practices and company standards.
• Use AI/ML to improve internal processes and tools for end-to-end service delivery.
• Provide technical expertise to address AI infrastructure requirements for cross-functional projects.

What we're looking for

• Develop, implement, and maintain GPU-based clusters to ensure optimal performance.
• Administer ML/AI platforms, including distributed ML services, LLMs, and AI inferencing.
• Automate system provisioning and end-to-end cluster management.
• Monitor and evaluate AI system performance against industry best practices and company standards.
• Experience in developing Python-based AI apps and UIs (preferred).
• Experience in HPC infrastructure engineering for AI/HPC domains (preferred).
• Proficiency in RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and 400G networking (preferred).
• Bachelor's or master's degree in computer science or computer engineering (preferred).