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Moonlite

Senior Software Engineer, Network Platform

  • Seen live on Moonlite's site today
  • Senior
  • Remote
Pay
Not stated
Location
Chicago, IL or Remote
Open for
12+ days
First seen
Oct 23, 2026
Apply on Moonlite's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Moonlite's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Moonlite, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Moonlite builds the infrastructure behind ambitious AI.

We design, deploy, and operate high-performance GPU systems for large-scale model training, computational research, and intensive data workloads. We combine bare-metal performance with the reliability and simplicity teams expect from the cloud.

What’s next in AI needs matching infrastructure. We’re building the team to make it happen.

Your Role

You will be fundamental to building our software-defined networking (SDN) platform that enables high-performance, isolated networking for distributed computing, model training, inference, and data-intensive workloads. Working closely with our network, infrastructure, and product teams, you'll design and implement the network orchestration and provisioning systems that manage DPU-accelerated networking, tenant isolation, and network lifecycle management, enabling researchers and engineers to access enterprise-grade networking with cloud-like simplicity.

Job 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.
  • 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

  • Experience: 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments.
  • Networking Expertise: Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.
  • Software-Defined Networking: Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies.
  • Programming Skills: Experience with Shell scripting and/or Python
  • Linux Networking: Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems.
  • High-Performance Networking: Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads.
  • Problem-Solving & Architecture: Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture.
  • Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation.
  • Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

Preferred Qualifications

  • 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

Key Technologies

Python, Go, NVIDIA Bluefield DPUs, Open vSwitch, VXLAN, SR-IOV, RDMA, RoCE, InfiniBand, BGP, Linux networking, Terraform, FastAPI, gRPC

Why Moonlite

  • Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
  • Hands-On Ownership: As an early engineer,, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
  • Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
  • Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
  • Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

What We Offer

  • Competitive salary plus startup equity
  • On-the-job training and mentorship from experienced engineers
  • Opportunities for career development within a high-growth environment
  • Health, dental, and vision insurance, 100% covered for the employee
  • 401(k) with up to 6% company match
  • Paid time off and holidays

We are an equal opportunity employer and welcome applicants from all backgrounds.

#li-remote

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