Together AI
Senior Network Engineer
San Francisco · Senior · Full-time
Sponsorship not specified$190k-$280kDetected 16 hours ago
PythonAlgorithmsCode ReviewGitAWSGCPKubernetesAnsibleCI/CDLinuxTCP/IPCiscoBGP/OSPFWiresharkNetwork EngineeringResearchNmap
About the role
- 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.
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.
- 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.
- 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.
Requirements
- 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.
- Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers.
- 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.
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.
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.
Visa & Work Authorization
- t 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
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This listing is sourced directly from Together AI's careers page and normalized into a canonical job model.