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Boundless Networks

Rural broadband provider with hybrid FTTM

Senior Infrastructure Engineer - GPU Compute

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Five or more years of infrastructure or DevOps experience operating large-scale production systems.
  • Deep expertise in Kubernetes, Docker, and container orchestration at scale.
  • Strong Linux systems administration skills.
  • Proficiency in infrastructure-as-code tools such as Terraform, Ansible, or Pulumi.
  • A track record of managing mission-critical, high-throughput systems.
  • A strong infrastructure-as-code background in heterogeneous environments.
  • Proficiency in at least one common scripting or programming language, such as Python, Bash, TypeScript, or Go.
  • A public GitHub profile with at least one year of activity or history; applications without one or with insufficient activity will not be considered.
  • Comfort navigating ambiguity and a strong bias for action.

Responsibilities

  • Operate a heterogeneous, multi-region GPU fleet across consumer and datacenter hardware using tools such as SkyPilot, Kubernetes/k3s, and cloud and on-premises providers.
  • Build reliable patterns for scheduling inference workloads across the entire fleet.
  • Maximize GPU utilization across inference workloads.
  • Own workload placement across spot, on-premises, and cloud capacity to keep the inference substrate saturated and economical.
  • Optimize GPU performance, including PCIe peer-to-peer, ReBAR, NUMA topology, CUDA and driver tuning, memory configuration, and network topology, to improve throughput per node.
  • Build secure fleet access using Tailscale and Teleport, robust observability and alerting, and zero-downtime rollouts across a distributed node fleet.
  • Reduce cost per GPU-hour through spot instance management, intelligent workload placement between on-premises and cloud, and resource scheduling without sacrificing reliability.

Desired Qualifications

  • Experience with GPU computing infrastructure, including CUDA, bare-metal optimization, or kernel tuning.
  • Experience operating machine-learning training or other large-scale distributed compute infrastructure.
  • Experience with GPU fleet orchestration tools such as SkyPilot, Ray, or Slurm.
  • Familiarity with fleet access and networking tools such as Tailscale and Teleport.
  • Knowledge of network optimization and topology design.
  • Experience with multi-region, globally distributed systems.
  • Proficiency in Rust or low-level systems programming.
  • Experience with on-premises data center operations.

About the Company

Boundless Networks

Rural broadband provider with hybrid FTTM

Boundless Networks provides high-speed broadband in rural and hard-to-reach areas of the North of England using its own private network. Its Fibre-to-the-Mast setup brings fibre to masts and then uses wireless links to deliver services up to 1 Gbps to homes and businesses without a traditional phone line. It combines full-fibre and fixed-wireless technologies and operates independently, with a 2021 partnership where Quickline acquired a 51% stake to scale the hybrid network while Boundless continues to operate under its own name. Its goal is to close the digital divide by expanding reliable, gigabit-capable last-mile connectivity in Yorkshire and nearby counties.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, United States
Founded
2025

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