Senior Network Engineer
Cotidal
Senior Network Engineer
Cotidal
AI-focused supercomputing infrastructure provider
Supercomputing built for AI.
Cotidal is building the computing infrastructure that AI companies and research labs need to train and run their models. Starting with TPUs, we design the hardware and software together around their workloads, with the goal of making powerful AI chips easier to use at scale.
Our mission is endless compute for humanity. Over time, we want customers to choose across chip stacks without rebuilding their infrastructure.
We’re hiring a Senior Network Engineer to design, deploy and troubleshoot the networks that connect Cotidal’s AI infrastructure. You will carry network designs into production, working across data center fabrics, enterprise networks, backbone connectivity and the performance demands of AI/HPC workloads.
You will bring deep hands-on Juniper experience, RDMA/RoCEv2 expertise and network security skills. Working with AI infrastructure, compute, storage and platform engineering teams, you will independently design, implement and diagnose complex infrastructure, and build the automation and monitoring needed to support it.
Design, deploy and operate large-scale AI/HPC and data center networks. Build and maintain spine-leaf fabrics using BGP, EVPN and VXLAN.
Configure and troubleshoot Juniper MX, QFX and EX routing and switching platforms, and support data center interconnects, backbone routing and high-bandwidth connectivity.
Support high-performance GPU cluster networking over Ethernet-based RDMA/RoCEv2. Investigate congestion, packet loss, latency, ECMP behavior and RDMA performance issues.
Configure and manage Palo Alto and Juniper SRX firewalls, including security policies, NAT, VPNs and high availability.
Work across compute, storage, platform and AI infrastructure teams to deliver and troubleshoot the network as part of the wider system.
Develop network automation and monitoring solutions that support deployment, operation and troubleshooting.
10–15 years of professional networking experience, including designing, deploying and troubleshooting large-scale data center and enterprise networks.
Strong hands-on and production experience with Juniper Junos and Juniper MX/QFX routing and switching platforms.
Advanced knowledge of BGP, OSPF, IS-IS, MPLS, EVPN/VXLAN and ECMP, and experience with 100G/400G/800G Ethernet networks.
An understanding of GPU cluster networking and spine-leaf fabric architecture, plus experience with RDMA, RoCEv2, Priority Flow Control (PFC), ECN and QoS.
Knowledge of low-latency, high-throughput networking and congestion management, and familiarity with NVIDIA Spectrum Ethernet, InfiniBand or AMD GPU infrastructure.
Hands-on experience with Palo Alto next-generation firewalls and Juniper SRX, including firewall policies, routing, NAT, IPsec VPNs and high-availability configurations.
Experience with Python, Ansible or other network automation tools, plus strong troubleshooting skills using packet captures, telemetry and network monitoring tools.
Experience with Linux networking and TCP/IP, and the ability to independently design, implement and troubleshoot complex network infrastructure.
Experience in one or more of the following:
Hyperscale data centers, cloud providers or AI infrastructure environments.
NVIDIA NCCL, RDMA performance tuning and distributed GPU workloads.
Arista EOS and SONiC.
Juniper JNCIP/JNCIE, Palo Alto PCNSE or equivalent certifications.
Help build the network foundation for AI infrastructure from design through deployment and production troubleshooting. Your work will connect topology, routing, security and performance decisions with the systems our customers use.
Help shape the foundations of an early company through direct discussion and work across network, systems, storage and platform engineering.
Location: Palo Alto, in person.
Compensation: Competitive salary and equity.
Visa sponsorship: We sponsor work visas and help you navigate the process.
Benefits: Medical, dental, and vision coverage, unlimited PTO, and relocation support as needed.
Cotidal builds specialized AI compute infrastructure, creating supercomputers for training and running large AI models for leading AI companies and research labs. Its approach pairs hardware and software in a single design, engineering silicon, code, and data-center deployment together to maximize performance for AI workloads; initially it centers on TPUs with a goal of supporting multiple chip stacks later. This holistic co-design differentiates Cotidal from vendors that sell hardware or software separately, aiming for hardware-agnostic efficiency as chip tech evolves. Its goal is to speed breakthroughs in AI by providing scalable, integrated compute for fields like medicine, physics, and robotics.
Explore more opportunities at Cotidal