Network Engineer

About The Company vCluster Labs is the leading platform for AI infrastructure, trusted by the world’s fastest-growing AI cloud builders. As a venture-backed startup headquartered in San Francisco’s Salesforce Tower, we have raised over $28 million from top-tier investors including Khosla Ventures, known for early investments in OpenAI, GitLab, Stripe, and DoorDash. Our team is distributed globally and embraces a remote-first culture, fostering flexibility and innovation. Our platform delivers a hyperscaler-like experience to AI Cloud providers and AI factories by managing the full stack required for GPU infrastructure—from bare metal provisioning and node lifecycle management to managed Kubernetes, Slurm, Ray, and inference clusters. This enables customers to transform raw GPUs into sellable cluster products in days rather than months. Currently, we power over 100,000 GPUs and 1 million CPUs across more than 50 AI clouds and Fortune 500 companies, supported by a dedicated team of 40+ infrastructure engineers who collaborate closely with customers. We are also the creators of vCluster, an open source technology for tenant isolation on Kubernetes, boasting over 11,000 GitHub stars and more than 40 million tenant clusters created since 2021. Our commitment to open source is integral to our DNA. Recently, at KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework designed for AI, ML, and GPU-intensive workloads, featuring an NVIDIA-validated reference architecture for DGX systems. About The Role As a Staff Network Engineer at vCluster Labs, you will play a critical role in automating the provisioning and management of high-speed NVIDIA InfiniBand and Ethernet fabrics that power AI Clouds. Rather than manually configuring switches, you will develop automation logic that enables repeatable, scalable network fabric provisioning. Starting within a small R&D group alongside our CTO, you will grow to own this vital area as it becomes a core component of our platform. Your responsibilities will include designing and building systems to automate NVIDIA switch and InfiniBand fabric configuration, integrating with NVIDIA UFM, and replacing manual per-customer switch setups. You will develop control loops to maintain consistent network state, including switches, VLANs, and VXLANs, detecting and reconciling configuration drift safely in production environments. Additionally, you will build NAT gateways and Layer 4 load balancing layers with built-in failover to ensure tenant cluster connectivity. At scale, you will define network behavior under real AI workloads, addressing BGP route table limits, convergence, failover, and link or gateway failures. You will operate as the “Customer Zero” for AI networking by running your automation in live AI Cloud environments, gathering operational insights, and transforming them into product improvements. Furthermore, you will contribute to technical direction, deciding what to build in-house versus integrate, authoring design and requirements documentation, and setting networking standards across vCluster products. Qualifications Proven experience building network automation software that programmatically configures switches, routers, or load balancers, preferably as part of a product or internal platform.Hands-on experience with NVIDIA networking technologies such as NVIDIA UFM, NVIDIA Spectrum or Quantum switches, Cumulus Linux, or NVUE, including API programming.Strong understanding of networking fabric fundamentals including InfiniBand, VLAN, VXLAN, EVPN, and BGP, with knowledge of their behavior and failure modes at production scale.Experience operating large-scale production networks, diagnosing failures, and implementing automation to resolve root causes rather than relying on manual runbooks.Software engineering proficiency in Go or Python, including use of version control systems, code review processes, and treating network configuration as code.Bonus qualifications include:Expertise in AI networking, including tuning fabrics for GPU training or inference workloads (e.g., RoCEv2, congestion control, rail-optimized topologies, Spectrum-X).Background in AI Cloud, hyperscalers, or large CDN network automation.Experience building L4 load balancers or NAT gateways, including with eBPF/XDP or DPDK.Contributions to open source networking or Kubernetes projects such as SONiC, FRRouting, Cilium, or MetalLB. Responsibilities Design and implement automation systems for provisioning and configuring NVIDIA switches and InfiniBand fabrics.Integrate network automation with NVIDIA UFM and other relevant APIs.Develop control loops to maintain network configuration consistency, detect drift, and reconcile state safely in production.Build NAT gateways and Layer 4 load balancing infrastructure with resilient failover mechanisms.Define and engineer network behavior for large-scale AI workloads, including BGP route table management, convergence, and failure handling.Operate automation in live AI Cloud environments, gather operational feedback, and iterate to improve reliability and usability.Collaborate with leadership and cross-functional teams to set technical direction, author design documents, and establish networking standards.Contribute to open source projects and represent vCluster Labs in the broader networking and AI infrastructure communities. Benefits Competitive salary with equity participation.Comprehensive health, dental, vision, and life insurance plans covering employees and eligible dependents (plan availability varies by country).Flexible working schedule that prioritizes results over rigid hours, supporting work-life balance.Remote-first culture with workplace flexibility to accommodate changing personal and professional needs.Opportunity to work alongside a passionate and experienced team in a high-growth startup environment.Engagement with cutting-edge AI infrastructure technologies and open source projects. Equal Opportunity vCluster Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply and join us in building the future of AI infrastructure.