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Moonlite

On-prem cloud-native AI control and deployment

Senior Software Engineer - Network Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USAIn-person

About the Job

Requirements

  • At least 5 years of software engineering experience building network platforms, software-defined networking systems, or network automation for production environments.
  • Deep understanding of networking fundamentals, including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.
  • Background in software-defined networking concepts, network virtualization, overlay networks, and programmable networking technologies.
  • Experience with Shell scripting and/or Python.
  • Strong experience with the Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems.
  • Understanding of RDMA, RoCE, InfiniBand, and low-latency networking requirements for distributed computing and GPU workloads.
  • Ability to solve complex networking performance and scalability challenges while balancing pragmatic delivery with long-term architecture.
  • Comfort navigating ambiguity, collaboratively defining requirements, and communicating technical decisions through clear documentation.
  • Commitment to continuous learning and professional development.

Responsibilities

  • Collaborate with infrastructure teams to design and build scalable software-defined networking orchestration systems using NVIDIA BlueField-3 DPUs for programmable, high-performance networking and hardware-accelerated forwarding isolation.
  • Implement automated software-defined networking provisioning systems for VPC creation, subnet allocation, routing configuration, and network-resource lifecycle management from deployment through decommissioning.
  • Develop platform capabilities to manage BlueField-3 DPUs, including SR-IOV virtual-function management, Open vSwitch offload configuration, network-function deployment, and integration with compute orchestration systems.
  • Build network isolation using VPCs, VXLAN, and hardware-accelerated forwarding to ensure tenant separation while maintaining high-performance connectivity for GPU clusters and distributed workloads.
  • Collaborate with infrastructure teams to optimize network paths for RDMA, RoCE, and GPU-to-GPU communication to minimize latency and maximize throughput for distributed training and computational workloads.
  • Develop APIs and SDKs for network-resource management, integrated with compute and storage platforms to enable programmatic network provisioning and configuration.
  • Implement network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns.
  • Build platform network-security features, including security groups, firewall rules, and policy enforcement, to protect tenant workloads while enabling flexible network configuration.

Desired Qualifications

  • Experience with NVIDIA BlueField DPU programming and the DOCA framework.
  • Background in network-function virtualization and service-function chaining.
  • Knowledge of Kubernetes networking, including CNI plugins, network policies, and service mesh.
  • Experience building network control planes or software-defined networking controllers.
  • Familiarity with network-automation frameworks and infrastructure-as-code for networking.
  • Understanding of data-center fabric architectures, including spine-leaf and CLOS topologies.
  • Experience with network security and compliance requirements in regulated industries.
  • Background building networking for research institutions, high-performance computing environments, or cloud providers.

About the Company

Moonlite

On-prem cloud-native AI control and deployment

Moonlite builds a cloud-native platform that runs AI software in private, on-prem environments. It gives enterprises control over AI by letting them download NVIDIA’s NIMS or build apps with Hugging Face, and then customize and deploy AI agents with a single click. The product runs inside a secure, private environment and provides full visibility into resources, applications, and users. It also lets organizations allocate compute in real time and choose models that fit their use cases, while testing new models as they become available. Moonlite differentiates itself by focusing on on-prem, security-by-design operations, end-to-end visibility, and simple, speed-driven deployment of AI models and agents. Its goal is to help enterprises deploy, manage, and scale AI applications with maximum control and clarity over their private infrastructure.

Company size
11-50
Company stage
Seed
Total funding
$4.3M
Headquarters
Chicago, IL
Founded
2024

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