Senior Network Engineer
Together AI · San Francisco
CHECKED 3H AGO
Infrastructureonsitesenior$190k–$280k
At a glance
Highlights
- Design and operate global networks powering high-performance AI compute.
- Keep large-scale, multi-vendor data centers highly available and performant.
- Support infrastructure serving 400+ trillion tokens a month.
What they offer
- startup equity
- health insurance
- competitive benefits
Ideal candidate
Hands-on engineer who owns complex problems end-to-end with structured, evidence-based troubleshooting. Drawn to large-scale, high-performance environments and keeping critical AI infrastructure reliable.
Requirements
- 8+ years designing, building and supporting large-scale production data center, cloud, service-provider or HPC networks (excluding enterprise networks)
- Deep understanding of TCP/IP and experience with BGP, OSPF, VXLAN, EVPN, ECMP and QoS
- Experience designing multi-tenant networks using VRFs, VLANs, overlays and policy-based segmentation
- Hands-on experience deploying and troubleshooting 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 issues across network, host and application layers
- Experience developing or maintaining network automation using Python, Ansible or similar
- Experience with Git-based SDLC including branching, code review, validation, testing, CI/CD, deployment and rollback
- Working knowledge of Kubernetes networking including pods, services, CNIs and connectivity troubleshooting
- Foundational knowledge of RDMA networking such as RoCE or InfiniBand
- Experience with cloud networking in AWS, GCP or Azure
- Strong Linux administration and troubleshooting skills
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs