Moonlite AI · 2 weeks ago
Senior Software Engineer, Network Platform
United States
Full-time
Remote
Senior Level
$165K/yr - $225K/yr
5+ years expMoonlite AI delivers high-performance AI infrastructure for organizations requiring intensive computational research and large-scale model training. They are seeking a Senior Software Engineer to build their software-defined networking platform, enabling high-performance networking for distributed computing and data-intensive workloads.
Computer Software
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
Qualification
Required
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
Preferred
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
Benefits
6% 401(k) match
Fully covered health insurance premiums
Other comprehensive offerings to support your well-being and success as we grow together
Company
Moonlite AI
Moonlite is building a cloud-native experience on-prem. Our software provides the control and customization enterprises need for AI.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase