Senior GPU Compute Infra Engineer (Remote)

Boundless Network, Inc.; United States; Remote; USD 175,000 - 250,000; Full time

Benefits offered by this job

Equity allocation

Remote-first with off-sites

Flexible PTO

Conference travel budget

Health, dental, vision insurance

Job summary

Boundless Network, Inc. in the United States is seeking a Senior Infrastructure Engineer to own the GPU compute fabric powering AI inference. You will drive orchestration across regions and providers, optimize the fleet for performance and cost, and push deep GPU and bare-metal optimizations.

You’ll work with SkyPilot, Kubernetes/k3s, and on-prem/cloud mix, ensuring reliability, observability, and fast, atomic rollouts while minimizing $/GPU-hour. Remote-first with off-sites globally.

Qualifications

• 5+ years of infrastructure/DevOps experience operating large-scale production systems.
• Deep expertise in Kubernetes, Docker, and container orchestration at scale.
• Strong Linux systems administration skills.
• Proficiency with Terraform, Ansible, and Pulumi.
• Track record of mission-critical, high-throughput systems.
• Strong IaC background in heterogeneous environments.
• Proficiency in at least one scripting language (Python, Bash, TS, Go).
• Comfort navigating ambiguity with a bias for action.

Responsibilities

• GPU Fleet Orchestration across multi-region fleet using SkyPilot, Kubernetes/k3s, and cloud/on‑prem providers.
• Compute Scheduling & Utilization to maximize GPU throughput and cost efficiency.
• Bare-Metal & GPU Optimization including PCIe, ReBAR, NUMA, CUDA tuning.
• Reliability, Access & Observability with secure fleet access and zero-downtime rollouts.
• Cost Optimization through smart workload placement and resource scheduling.

Skills

Infra/DevOps experience

Kubernetes

Docker

Linux administration

IaC: Terraform

IaC: Ansible

IaC: Pulumi

Scripting languages

Tools

SkyPilot

k3s

ReBAR

CUDA tuning

Tailscale

Teleport

Job description

Boundless Network, Inc. in the United States is seeking a Senior Infrastructure Engineer to own the GPU compute fabric powering AI inference. You will drive orchestration across regions and providers, optimize the fleet for performance and cost, and push deep GPU and bare-metal optimizations.

You’ll work with SkyPilot, Kubernetes/k3s, and on-prem/cloud mix, ensuring reliability, observability, and fast, atomic rollouts while minimizing $/GPU-hour. Remote-first with off-sites globally.