High Performance Networking Engineer

1 week ago

Bloomington, United States Hewlett Packard Enterprise Development LP Full time
Job Overview

Hewlett Packard Enterprise is the leading global edge-to-cloud company, advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud. Our culture thrives on innovation, flexibility, and diversity.

Key Responsibilities

This role has been designated as 'Remote/Teleworker', which means you will primarily work from home. As a High Performance Networking Engineer, you will play a crucial part in developing network infrastructure capabilities for AI/ML and HPC workloads and applications. This includes working with open-source communities to optimize and support the latest system solutions, such as Kubernetes workload and orchestration for Slingshot based clusters, resource management solutions (e.g., Slurm or PBS Pro), and other system capabilities necessary to deploy, manage, and maintain scale AI clusters, systems, and workloads.

Main Tasks:
  • Engage with GPU/CPU vendors, customers, AI ISV, and open-source SW communities to validate, tune, and enable high-performance AI applications on the Slingshot Ethernet fabric.
  • Work with partner engagements for leading communication libraries, middleware, and frameworks used in AI development today (NCCL, RCCL, UCX, OneCCL, PyTorch, etc.).
  • Design, implement, and maintain system software that enables communication between GPUs, CPUs, and storage in scale-out AI and HPC systems.
  • Work with OEM, ODM, and VAR channels vendors to bring Slingshot to a broader set of customers. Validate and tune applications driving those engagements.
  • Develop and own HPE product usage support, upstreaming, and community engagements, and internal testing and infrastructure.
Required Qualifications:
  • Bachelor's/master's degree in computer science, engineering, or related field.
  • 5+ years of relevant experience with a background in networking and communications software development and/or architecture in the Data Center, university, government lab, or AI-centric environments.
  • Experience in scripting programming using languages such as Python, Go, and bash scripting.
  • Experience with HPC(High-Performance Computing), concepts, and the applications that drive this field.
  • Experience with large cluster deployment and management.
  • Familiarity with low-latency/high-bandwidth, interconnected infrastructure (including InfiniBand, Ethernet, RDMA/RoCE, and others).
  • Knowledge of HPC storage (FC, SAS) principles, file systems (NFS, Lustre, ZFS, etc.), and compute node storage, Network Attached Storage.
  • Experience in setting up and managing monitoring solutions (Elasticsearch, Logstash, Prometheus, Grafana, Kibana, etc.).
  • In-depth understanding of container technologies like Docker, Containerd, Singularity, Podman.
  • Good understanding of Kubernetes environments (deployments, storage, services, jobs, ingress, egress, etc).
  • Experience with Kubernetes extensions (device-plugins, CRD, CNIs, and CSIs)
Detailed Requirements:
  • Good understanding of Kubernetes design patterns (operators, helm charts, kustomize, etc).
  • Experience deploying and managing HPC workloads (Slurms, PBS, etc), including system architecture, job scheduling, and queue management.
  • Experience with Network Automation (Ansible, Terraform, etc.)
  • Expertise with administration, monitoring, and maintaining secure Linux/Unix operating systems (SLES, RHEL, Ubuntu).
  • Excellent communication, interpersonal, and customer collaboration skills

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