Senior Network Engineer

Together AI
San Francisco, CA
On-site

Who this role is best for

Aimed at senior network engineers with expertise in high-performance computing networks and automation, working in AI infrastructure environments.

Best fit for

  • Network engineers with deep experience in hybrid data center environments beyond enterprise networks.
    — “8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks
  • Candidates who combine strategic network design with hands-on automation implementation.
    — “both a strategic planner and a hands-on engineer
  • Professionals comfortable with multi-vendor network environments and cloud integration.
    — “Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox

Things to consider

  • Explicit exclusion of enterprise network experience from minimum qualifications.
    — “excluding enterprise networks
  • Requires active participation in hardware/software vendor evaluations.
    — “Manage relationships with external vendors and partners to test and verify hardware and software selections

How to stand out

  • Demonstrate specific contributions to network architecture roadmaps in past roles.
    — “directly contributing to roadmaps and partner alongside the best engineers
  • Highlight projects where you implemented network solutions for AI workloads.
    — “Understanding of AI training workloads and the demands they exert on networks
  • Showcase automation pipelines developed for network operations.
    — “Experience developing network automation pipelines using Python, Ansible
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designed and deployed global multi-vendor, multi-protocol high performance compute networks
  • Developed and deployed systems and tools for network reliability
Typical background
Network engineeringData center networkingCloud networks

Skills & requirements

Required

Network DesignNetwork OptimizationNetwork SecurityNetwork ProtocolsNetwork Automation

Preferred

RoceInfinibandDockerKubernetesSlurm

Stack & domain

Tcp/ip NetworkingBgpOspfVxlanEvpnQosNetwork AutomationPythonAnsibleWiresharkTcpdumpNmapMtrCurlDockerKubernetesSlurmRoceInfinibandNetworkingData Center Networking

About the role

Original posting from Together AI via Greenhouse

About the Role

As a Senior Network Engineer at Together, you are responsible for designing, implementing, and maintaining our network infrastructure to ensure seamless connectivity and optimal performance for all user-facing services and production systems. As both a strategic planner and a hands-on engineer, you apply sound networking principles, operational discipline, and advanced automation to our network environments.

You specialize in networking systems—including routing, switching, network security, and protocols—implementing best practices for availability, reliability, and scalability. You have a keen interest in network design, optimization, and emerging technologies in HPC-based data center networking.

Outstanding problem-solving abilities and a comprehensive understanding of fundamental network theory are also critical to your success.

Requirements

8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).

High level of 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 languages/tools utilized in infrastructure automation.

Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.

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.

Responsibilities

Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.

Analyze data to diagnose and identify root causes to network issues to minimize downtime

Evaluate and recommend network technologies, hardware, and software solutions.

Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability. 

Manage relationships with external vendors and partners to test and verify hardware and software selections.

Develop, and deploy systems and tools to keep all networks running reliably and efficiently

Establish and implement industry best practices and contribute to the design of new scalable network solutions

Ensure compliance with IT governance standards and best practices.

Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions

Preferred

Knowledge of RoCE and Infiniband protocols a plus

Experience with Docker, Kubernetes, or Slurm a plus 

Understanding of AI training workloads and the demands they exert on networks a plus

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

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 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

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.

Please see our privacy policy at https://www.together.ai/privacy  

Source: Together AI careers (Greenhouse)

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