Senior Network Engineer San Francisco

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

Job summary

Together AI is seeking a Senior Network Engineer to design, deploy, and operate the global network infrastructure powering our production services and high-performance AI compute environments.

This hands-on role requires deep networking expertise and the ability to troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will manage large-scale data center networks to ensure high availability and scalability.

Qualifications

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

Responsibilities

• Design, deploy, operate, and maintain global multi-vendor networks for high-performance AI compute infrastructure.
• Troubleshoot complex network and application connectivity, identify root causes, drive resolution.
• Analyze telemetry, packet captures, logs and performance data to identify degradation and capacity constraints.
• Participate in architecture and design reviews for performance, availability, security and operability.
• Develop automation, validation and tooling to improve reliability and reduce manual effort.
• Evaluate hardware, software, optics and new 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 roadmap.
• Collaborate with infra, systems, security and application teams across ownership boundaries.

Skills

TCP/IP

BGP

OSPF

VXLAN

EVPN

ECMP

QoS

VRFs

VLANs

Overlays

Policy segmentation

Wireshark

tcpdump

MTR

nmap

Linux tooling

Python

Ansible

Git workflows

Kubernetes networking

CNIs

RDMA

RoCE

InfiniBand

AWS

GCP

Azure

Linux admin

Tools

Arista

Cisco

Juniper

NVIDIA

Job description

Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments.

This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant.

The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself.

Requirements

• 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks).
• Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS.
• Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation.
• Hands‑on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA.
• Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities.
• Ability to diagnose connectivity, latency, packet‑loss, routing, and performance issues across the network, host, and application layers.
• Experience developing or maintaining network automation using Python, Ansible, or similar tools.
• Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deployment, and rollback.
• Working knowledge of Kubernetes networking, including pods, services, CNIs, and basic connectivity troubleshooting.
• Foundational knowledge of RDMA networking and technologies such as RoCE or InfiniBand.
• Experience with cloud networking in AWS, GCP, or Azure.
• Strong Linux administration and troubleshooting skills.

Responsibilities

• Design, deploy, operate, and maintain global, multi-vendor, multi-protocol networks supporting high-performance AI compute infrastructure.
• Troubleshoot complex network and application-connectivity issues, identify root causes, and drive problems through resolution.
• Analyze telemetry, packet captures, logs, and performance data to identify network degradation, congestion, packet loss, and capacity constraints.
• Participate in architecture and design reviews to ensure solutions meet requirements for performance, availability, scalability, security, and operational supportability.
• Develop and maintain automation, validation, and operational tooling that improves network reliability and reduces manual effort.
• Evaluate network hardware, software, optics, and emerging technologies for use in production environments.
• Establish standards and operational best practices for network design, deployment, monitoring, change management, and incident response.
• Lead projects addressing complex technical challenges and contribute directly to the network engineering roadmap.
• Partner with infrastructure, systems, security, and application teams to troubleshoot issues that cross traditional ownership boundaries.

Preferred

• Hands‑on experience deploying or operating RoCE and/or InfiniBand fabrics.
• Experience supporting GPU clusters, HPC environments, distributed storage, or other high‑bandwidth and latency‑sensitive workloads.
• Understanding of AI training and inference traffic patterns and the demands they place on network infrastructure.
• Experience operating networks spanning thousands of devices, multiple data centers, and multiple geographic regions.
• Familiarity with AI‑assisted engineering tools and the ability to validate, test, and safely deploy AI-generated automation or code.

About Together AI

Together AI, the AI Native Cloud, is purpose‑built for AI engineers. AI application developers get high-performance inference that scales reliably, fine‑tuning and reinforcement learning for creating frontier‑level specialized models, and pre‑training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job‑related knowledge.

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.