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.
Responsibilities
- 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
- 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
- Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning
- 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
- 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
- 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
- Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration
- Implement comprehensive 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 that protect tenant workloads while enabling flexible network configuration
Skills
- 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
Benefits
- Startup equity
- 6% 401(k) match
- Fully covered health insurance premiums
- Other comprehensive offerings to support your well-being and success as we grow together
Company Overview
Moonlite 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.