Staff HPC Platform Engineer — Slurm & Cloud

Nscale

United States

Remote

USD 225,000 - 275,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
Flexible PTO
Parental leave
Retirement plan

Job summary

Nscale is hiring a Staff HPC Systems Software Engineer to define the technical direction for a defined HPC domain within our GPU cloud platform. You will shape architecture, automate workflows, and ensure reliable, scalable Slurm-based services across multiple teams.

Join a fast-growing AI infrastructure company where you’ll influence platform design, champion reusable patterns, and partner with cloud-native tooling to deliver high-performance HPC capabilities on GPU-backed infrastructure.

Qualifications

  • Extensive production experience building HPC software with Slurm.
  • Strong Go/Python programming skills for maintainable code.
  • Ability to set technical direction across multiple teams.
  • Deep knowledge of Slurm internals, scheduler behavior, lifecycle.
  • Genuine understanding of GPU-backed infrastructure and HPC networking.
  • Experience integrating HPC with cloud-native platforms and tooling.

Responsibilities

  • Own the HPC domain architecture and define technical direction.
  • Drive cross-team design for Slurm, Kubernetes-adjacent systems, and APIs.
  • Lead critical initiatives across 2–4 teams and unblock delivery.

Skills

Slurm
Go
Python
HPC networking
GPU infrastructure
Cloud-native platforms
Architectural clarity
Cross-team collaboration
Kueue

Tools

Kubernetes
Slurm

Job description

Nscale is hiring a Staff HPC Systems Software Engineer to define the technical direction for a defined HPC domain within our GPU cloud platform. You will shape architecture, automate workflows, and ensure reliable, scalable Slurm-based services across multiple teams.

Join a fast-growing AI infrastructure company where you’ll influence platform design, champion reusable patterns, and partner with cloud-native tooling to deliver high-performance HPC capabilities on GPU-backed infrastructure.

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