Job Description

Moonlite delivers high-performance AI infrastructure for organizations running
intensive computational research, large-scale model training, and demanding
data processing workloads. We provide infrastructure deployed in our
facilities or co-located in yours, delivering flexible on-demand or reserved
compute that feels like an extension of your existing data center. Our team of
AI infrastructure specialists combines bare-metal performance with cloud-
native operational simplicity, enabling research teams and enterprises to
deploy demanding AI workloads with enterprise-grade reliability and
compliance.

Your Role:

You will be foundational to building our software-defined networking (SDN)
platform that enables high-performance, isolated networking for distributed
computing, model training, inference, and data-intensive workloads. Working
closely with our network, infrastructure, and product teams, you’ll design and
implement the network orchestration and provisioning systems that manage DPU-
accelerated networking, tenant isolation, and network lifecycle management –
enabling researchers and engineers to access enterprise-grade networking with
cloud-like simplicity.

Job Responsibilities:

* **Software-Defined Networking Architecture:** Collaborate with infrastructure to design and build scalable SDN orchestration systems leveraging NVIDIA Bluefield-3 DPUs to deliver programmable, high-performance networking for AI workloads with hardware-accelerated forwarding isolation.
* **Research Cluster Networking:** Design and implement networking systems for research computing environments including Kubernetes and SLURM clusters, enabling high-performance connectivity, optimized network topology for distributed workloads, and seamless integration with cluster orchestration systems.
* **Network Provisioning & Lifecycle Management:** Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning.
* **DPU Platform Engineering:** Develop platform capabilities for managing Bluefield-3 DPUs including SR-IOV virtual function management, OVS offload configuration, network function deployment, and integration with compute orchestration systems.
* **Multi-Tenancy & Network Isolation:** Build enterprise-grade network isolation using VPCs, VXLAN, and hardware-accelerated forwarding to ensure complete tenant separation while maintaining high-performance connectivity for GPU clusters and distributed workloads.
* **High-Performance Networking:** Collaborate with infrastructure to optimize network paths for RDMA, RoCE, and GPU-to-GPU communication, ensuring minimal latency and maximum throughput for distributed training and large-scale computational workloads.
* **Network APIs & Integration:** Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration.
* **Network Observability:** Implement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns.Security & Policy Management: Build platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configuration.

Requirements:

* **Experience:** 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments.
* **Kubernetes Networking & Container Orchestration:** Strong familiarity with Kubernetes networking architecture, CNI plugins, service networking, and network policies. Understanding of pod networking, services, ingress, and how Kubernetes manages network resources.
* **Networking Expertise:** Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.Software-Defined Networking: Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies.
* **Programming Skills:** Experience with Go and Python for performance-critical networking components and services is highly valued.
* **Linux Networking:** Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems.
* **DPU & SmartNIC Experience:** Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quickly.
* **High-Performance Networking:** Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads.
* **Problem-Solving & Architecture:** Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture.
* **Autonomy & Communication:** Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation.
* **Commitment to Growth:** Growth mindset with continuous focus on learning and professional development.

**Preferred Qualifications**

* Background provisioning or managing networking for research computing environments (Kubernetes, SLURM, or HPC clusters)
* Experience with NVIDIA Bluefield DPU programming and DOCA framework
* Background with network function virtualization (NFV) and service function chaining
* Knowledge of Kubernetes networking (CNI plugins, network policies, service mesh)
* Experience building network control planes or SDN controllers
* Familiarity with network automation frameworks and infrastructure-as-code for networking
* Understanding of data center fabric architectures (spine-leaf, CLOS topologies)
* Experience with network security and compliance requirements in regulated industries
* Background building networking for research institutions, HPC environments, or cloud providers

Key Technologies

* Go, Python, NVIDIA Bluefield DPUs, Open vSwitch, VXLAN, SR-IOV, RDMA, RoCE, InfiniBand, BGP, Linux networking, Terraform, FastAPI, gRPC

Why Moonlite

* **Build Next-Generation Infrastructure:** Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
* **Hands-On Ownership:** As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
* **Shape Industry Standards:** Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
* **Collaborate with Experts:** Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
* **Start-Up Agility with Industry Impact:** Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base
salary, startup equity, and industry-leading benefits. The total compensation
range for this role is $165,000 – $225,000, which includes both base salary
and equity. Actual compensation will be determined based on experience,
skills, and market alignment. We provide generous benefits, including a 6%
401(k) match, fully covered health insurance premiums, and other comprehensive
offerings to support your well-being and success as we grow together.