Requirements:

• A degree in Computer Science, Engineering, or a related field and 8+ years of experience
• Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high-speed interconnects and supporting software
• Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking and internals
• Experience with multiple storage solutions and familiarity with newer technologies
• Python programming and bash scripting experience
• Comfortable with automation and configuration management tools
• Deep knowledge of Networking Protocols like InfiniBand, Ethernet
• Deep understanding and experience with virtual systems
• Familiarity with cloud computing platforms

Nice to Haves:

• Knowledge of CPU and/or GPU architecture
• Knowledge of Kubernetes, container-related microservice technologies
• Experience with GPU-focused hardware/software (DGX, Cuda)
• Experience with RDMA (InfiniBand or RoCE) fabrics

What you will be doing:

• Design, implement, and maintain large-scale HPC/AI clusters with monitoring, logging, and alerting
• Manage Linux job/workload schedules and orchestration tools
• Develop and maintain continuous integration and delivery pipelines
• Develop tooling to automate deployment and management of large-scale infrastructure environments
• Deploy monitoring solutions for servers, network, and storage
• Perform troubleshooting from bare metal to application level
• Develop, re-define, and document standard methodologies
• Support Research & Development activities and engage in POCs/POVs for future improvements

Perks and Benefits:

• Equal opportunity employer
• Value diversity at the company
• Accommodations for individuals with disabilities