Network Engineer

We’re currently looking to hire a fully remote Network Engineer to spearhead the development of high-performance, scalable networking infrastructure tailored for AI-driven cloud environments. This role centers on architecting and fine-tuning network solutions across geographically distributed data centers, enabling support for AI workloads across bare metal, virtual machines, and containerized platforms - from initial training to fine-tuning and inference stages.

In this role, you’ll collaborate cross-functionally with infrastructure, GPU, and platform engineering teams to deliver ultra-low latency and high-throughput systems optimized for next-generation AI clusters. What You’ll be Doing:

• Architect robust, high-throughput data center network fabrics optimized for AI workloads and multi-tenant cloud environments
• Design and deploy EVPN/VXLAN overlays, L2/L3 switching topologies, and host-level multi-networking across bare metal, VMs, and containers; proficient in MLAG switch environments
• Implement BGP, VRFs, and ACLs to enforce network segmentation, tenant isolation, and dynamic security policy frameworks
• Lead end-to-end design of advanced GPU interconnect fabrics (e.g., Infiniband, Spectrum-X, RDMA/RoCEv2, DPUs/Smart NICs) leveraging CLOS/ECMP architectures
• Build and maintain carrier-grade edge routing systems with BGP-based peering, automatic failover, and intelligent traffic engineering
• Manage inter-data center connectivity, routing governance, and resilience strategies across geographically distributed clusters
• Define and implement SDN architectures via Netconf, gNMI, and controller-based frameworks for dynamic network orchestration

Do you have experience in Tooling?, Requirements: 7+ years of Network Engineering experience in Cloud Computing environment, Software Defined Networking, CCNP, HPC/AI, * 5+ years of experience in data center or service provider networking

• Proven expertise across key domains:
• High-speed Ethernet architectures (100G, 200G, 400G, 800G)
• Advanced routing and switching technologies: EVPN/VXLAN, Layer 2/3, BGP, OSPF, VRFs, and QoS
• High-performance fabrics for AI/HPC workloads, including Infiniband and RoCEv2
• Multi-host networking across bare metal, KVM, and Kubernetes environments
• Experience designing GPU cluster networks with technologies such as NVIDIA UFM, SHARP, and data center fabric best practices
• Proficient with infrastructure automation tools, including Netbox, Netconf, and IaC frameworks like Ansible and Terraform
• Practical knowledge of vendor platforms: Arista EOS, Juniper Junos, and Mellanox/NVIDIA Cumulus and Onyx
• Strong grasp of network telemetry, packet-level diagnostics, and performance optimization techniques
• Excellent communication and documentation skills, with a collaborative approach to cross-functional engineering work

BONUS SKILLS:

• Familiarity with AI/ML workload patterns, including model training and inference bottlenecks
• Experience developing or integrating SDN controllers using Python
• Background in multi-tenant cloud networking for platform-as-a-service (PaaS) or infrastructure-as-a-service (IaaS) environments
• Certifications such as CCIE, JNCIE, or comparable credentials

Pulled from the full job description

• Paid time off
• RSU, * $175k - $250k/year DOE
• RSU’s
• 5 weeks PTO
• 401k w/ match
• Comprehensive benefits and MORE!

Our global platform focuses AI/High Performance Computing Infrastructure. Founded in 2017, we are now post-IPO, publicly traded, and experiencing MASSIVE GROWTH… Our revenue grew over 95% in the last YEAR! We have made several acquisitions and formed several partnerships during this period of growth, and we need YOUR HELP to keep it going.