[Remote] Senior Software Engineer, Network Platform

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Moonlite AI delivers high-performance AI infrastructure for organizations running intensive computational research and data processing workloads. The Senior Software Engineer, Network Platform will be responsible for building a software-defined networking platform that enables high-performance, isolated networking for distributed computing and model training.ResponsibilitiesCollaborate 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 isolationDesign 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 systemsImplement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioningDevelop platform capabilities for managing Bluefield-3 DPUs including SR-IOV virtual function management, OVS offload configuration, network function deployment, and integration with compute orchestration systemsBuild 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 workloadsCollaborate 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 workloadsDevelop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configurationImplement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patternsBuild platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configurationSkills5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environmentsStrong familiarity with Kubernetes networking architecture, CNI plugins, service networking, and network policies. Understanding of pod networking, services, ingress, and how Kubernetes manages network resourcesDeep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architecturesBackground in SDN concepts, network virtualization, overlay networks, and programmable networking technologiesExperience with Go and Python for performance-critical networking components and services is highly valuedStrong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systemsFamiliarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quicklyUnderstanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloadsDemonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architectureComfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentationGrowth mindset with continuous focus on learning and professional developmentBackground provisioning or managing networking for research computing environments (Kubernetes, SLURM, or HPC clusters)Experience with NVIDIA Bluefield DPU programming and DOCA frameworkBackground with network function virtualization (NFV) and service function chainingKnowledge of Kubernetes networking (CNI plugins, network policies, service mesh)Experience building network control planes or SDN controllersFamiliarity with network automation frameworks and infrastructure-as-code for networkingUnderstanding of data center fabric architectures (spine-leaf, CLOS topologies)Experience with network security and compliance requirements in regulated industriesBackground building networking for research institutions, HPC environments, or cloud providersBenefitsStartup equity6% 401(k) matchFully covered health insurance premiumsOther comprehensive offerings to support your well-being and success as we grow togetherCompany OverviewMoonlite AI is a technology company. It was founded in 2024, and is headquartered in Chicago, Illinois, USA, with a workforce of 2-10 employees. Its website is https://www.moonlite.ai.

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