Together

Together

Together AI provides the fastest and most cost-efficient tools for building generative AI models, with a dedicated team of experts to support users in training their own models and advancing AI technology.

IT Services
1-10
$20M raised

Description

  • Design, deploy, manage, and maintain global multi-vendor, multi-protocol high-performance compute networks.
  • Analyze network data to diagnose issues and identify root causes to minimize downtime.
  • Evaluate and recommend network technologies, hardware, and software solutions.
  • Participate in design reviews to ensure network architecture aligns with business needs and performance, scalability, and reliability goals.
  • Manage relationships with external vendors and partners to test and verify hardware and software selections.
  • Develop and deploy systems and tools that keep networks running reliably and efficiently.
  • Establish and implement industry best practices and contribute to new scalable network designs.
  • Ensure compliance with IT governance standards and best practices.
  • Lead projects that address complex technical challenges and contribute to network roadmaps.

Requirements

  • 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks, excluding enterprise networks.
  • High proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
  • Experience developing network automation pipelines using Python, Ansible, or other infrastructure automation tools.
  • Proficiency with troubleshooting tools such as Wireshark, tcpdump, nmap, MTR, and curl.
  • Experience designing and supporting multi-tenant networks.
  • Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
  • Experience working with cloud networks such as AWS, GCP, and Azure.
  • Solid experience working in and troubleshooting within a Linux environment.
  • Must have real-world RoCE or Infiniband experience.
  • Experience with Docker, Kubernetes, or Slurm is preferred.
  • Understanding of AI training workloads and their network demands is preferred.

Interested in this position?

Apply directly on the company website

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