Global HPC Network Engineer for AI Infra

Together; San Francisco (CA); On-site; USD 190,000 - 280,000; Full time

Benefits offered by this job

Startup equity

Health insurance

Competitive benefits

Job summary

Together AI is seeking a Senior Network Engineer to design, deploy, and operate our global, multi-vendor data center networks supporting production AI compute environments.

This hands-on role requires deep networking expertise and comfort troubleshooting across Linux, Kubernetes, automation, and application boundaries to keep networks highly available and performant.

You will shape standards, drive automation, and collaborate with infra, security, and software teams across locations.

Qualifications

• 8+ years of experience designing, building, and supporting large-scale production networks.
• Deep TCP/IP knowledge with BGP, OSPF, VXLAN, EVPN, ECMP, QoS.
• Experience with multi-tenant networks using VRFs, VLANs, overlays, and policy-based segmentation.
• Hands-on experience with Arista, Cisco, Juniper, and NVIDIA hardware.
• Strong troubleshooting using Wireshark, tcpdump, MTR, curl, nmap, and Linux utilities.
• Ability to diagnose connectivity, latency, packet loss, routing, and performance across network, host, and application layers.
• Experience developing or maintaining network automation using Python, Ansible, or similar.
• Experience with Git-based SDLC: branching, code review, validation, linting, testing, CI/CD, deployment, rollback.
• Working knowledge of Kubernetes networking (pods, services, CNIs).
• Foundational knowledge of RDMA (RoCE/InfiniBand).
• Experience with cloud networking (AWS, GCP, Azure).
• Strong Linux administration and troubleshooting.

Responsibilities

• Design, deploy, operate, and maintain global, multi-vendor networks for high-performance AI compute infra.
• Troubleshoot complex network and application connectivity issues, identify root causes, drive resolution.
• Analyze telemetry, packet captures, logs, and performance data to identify degradation and capacity constraints.
• Participate in architecture reviews to ensure performance, availability, security, and operability.
• Develop automation, validation, and tooling to improve network reliability and reduce manual effort.
• Evaluate network hardware, software, optics, and emerging technologies for production use.
• Establish standards and best practices for network design, deployment, monitoring, change management, and incident response.
• Lead projects addressing complex technical challenges and contribute to the network engineering roadmap.
• Collaborate with infra, systems, security, and application teams to troubleshoot cross-boundary issues.

Skills

TCP/IP fundamentals

BGP/OSPF/VXLAN

Multi-tenant networks (VRFs/VLANs)

Vendor hardware: Arista/Cisco/Juniper

Network troubleshooting (Wireshark/tcp

Tools

Wireshark

tcpdump

MTR

curl

nmap

Python

Ansible

Job description

Together AI is seeking a Senior Network Engineer to design, deploy, and operate our global, multi-vendor data center networks supporting production AI compute environments.

This hands-on role requires deep networking expertise and comfort troubleshooting across Linux, Kubernetes, automation, and application boundaries to keep networks highly available and performant.

You will shape standards, drive automation, and collaborate with infra, security, and software teams across locations.