Voiceflow
Data-Center-Network-Engineer
Location:
San Francisco (Onsite) Type:
Full-time Start Date:
ASAP What You’ll Do
Design and implement network architectures for GPU clusters and high-performance computing environments Build real-time network topology discovery and awareness systems Debug and optimize data center fabric performance across switches, NICs, and interconnects Develop automation for network configuration, validation, and deployment at scale Integrate network telemetry into our hardware intelligence platform Work on network stack optimization for low-latency, high-throughput workloads Collaborate with customers deploying AI infrastructure in enterprise and hyperscale environments What You Bring
Strong experience with: Data center network architectures (spine-leaf, Clos, fat-tree) Network protocols (BGP, OSPF, EVPN-VXLAN, RDMA/RoCE) High-performance networking (InfiniBand, 100G/400G Ethernet, SmartNICs) Network operating systems (Cumulus, SONiC, Arista EOS, Cisco NX-OS) Network automation and programmability (Python, Ansible, Netconf/YANG) Packet capture and analysis (Wireshark, tcpdump, eBPF) Familiarity with: GPU cluster networking and AI/ML workload requirements Storage networking (NVMe-oF, iSCSI, FC) Network telemetry and observability (streaming telemetry, sFlow, NetFlow) Linux networking stack and kernel networking SDN controllers and network virtualization What We’re Looking For
We’re looking for a network engineer who understands data center fabric at the packet level and can build intelligent systems that make network configuration and debugging effortless. You should have: Deep expertise in modern data center network design and operations Experience with high-performance computing or AI infrastructure networking Ability to debug complex network issues across multiple layers Comfort working at the intersection of hardware, software, and network Excitement about automating away the pain of network operations Requirements: Bachelor’s or Master’s in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience 4+ years of data center network engineering experience Willingness to work startup hours, in-person (weekends included) at our San Francisco office Work authorization in the United States Why Join
We’re building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure. What we offer: Startup-level equity and highly competitive salary Ownership over network intelligence that powers GPU clusters and AI infrastructure Problems at the cutting edge of data center networking and automation Close collaboration with customers building next-generation AI infrastructure How to Apply
Email:
team@cosmiclabs.io Subject line:
Data Center Network / [Your Name] Include in your email: Your name Why this role and why Cosmic Labs What you bring technically Soonest available start date GitHub or GitLab link Confirmation of work authorization in the U.S. Confirmation of willingness to work full-time, in-person in San Francisco Attach:
PDF resume
#J-18808-Ljbffr
Location:
San Francisco (Onsite) Type:
Full-time Start Date:
ASAP What You’ll Do
Design and implement network architectures for GPU clusters and high-performance computing environments Build real-time network topology discovery and awareness systems Debug and optimize data center fabric performance across switches, NICs, and interconnects Develop automation for network configuration, validation, and deployment at scale Integrate network telemetry into our hardware intelligence platform Work on network stack optimization for low-latency, high-throughput workloads Collaborate with customers deploying AI infrastructure in enterprise and hyperscale environments What You Bring
Strong experience with: Data center network architectures (spine-leaf, Clos, fat-tree) Network protocols (BGP, OSPF, EVPN-VXLAN, RDMA/RoCE) High-performance networking (InfiniBand, 100G/400G Ethernet, SmartNICs) Network operating systems (Cumulus, SONiC, Arista EOS, Cisco NX-OS) Network automation and programmability (Python, Ansible, Netconf/YANG) Packet capture and analysis (Wireshark, tcpdump, eBPF) Familiarity with: GPU cluster networking and AI/ML workload requirements Storage networking (NVMe-oF, iSCSI, FC) Network telemetry and observability (streaming telemetry, sFlow, NetFlow) Linux networking stack and kernel networking SDN controllers and network virtualization What We’re Looking For
We’re looking for a network engineer who understands data center fabric at the packet level and can build intelligent systems that make network configuration and debugging effortless. You should have: Deep expertise in modern data center network design and operations Experience with high-performance computing or AI infrastructure networking Ability to debug complex network issues across multiple layers Comfort working at the intersection of hardware, software, and network Excitement about automating away the pain of network operations Requirements: Bachelor’s or Master’s in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience 4+ years of data center network engineering experience Willingness to work startup hours, in-person (weekends included) at our San Francisco office Work authorization in the United States Why Join
We’re building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure. What we offer: Startup-level equity and highly competitive salary Ownership over network intelligence that powers GPU clusters and AI infrastructure Problems at the cutting edge of data center networking and automation Close collaboration with customers building next-generation AI infrastructure How to Apply
Email:
team@cosmiclabs.io Subject line:
Data Center Network / [Your Name] Include in your email: Your name Why this role and why Cosmic Labs What you bring technically Soonest available start date GitHub or GitLab link Confirmation of work authorization in the U.S. Confirmation of willingness to work full-time, in-person in San Francisco Attach:
PDF resume
#J-18808-Ljbffr