Senior Software Engineer, Network Platform

Moonlite AI delivers high-performance AI infrastructure for intensive computational research, large-scale model training, and demanding data processing workloads. The Senior Software Engineer will build the software-defined networking platform that provides high-performance, isolated networking for distributed computing and AI workloads, including network orchestration, provisioning, DPU management, multi-tenancy, APIs, observability, and security.

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:

• 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments
• 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
• Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures
• Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies
• Experience with Go and Python for performance-critical networking components and services is highly valued
• Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems
• Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quickly
• Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads
• Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture
• Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation
• Growth mindset with continuous focus on learning and professional development
• 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