Senior AI Compute Scheduler (Slurm/Kubernetes)

NVIDIA Corporation; Austin (TX); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA Corporation in Austin, TX is seeking a Senior Software Engineer to design and build scheduling for large GPU fleets using Slurm and Kubernetes, extending batch scheduling for AI training and inference. You'll own parts of the scheduling stack, build policy layers for fair sharing, run Slurm on Kubernetes, and contribute to open-source projects while collaborating with researchers and engineers.

The role emphasizes reliability, on-call responsiveness, and measurable improvements in GPU

Qualifications

• BS or MS in CS/CE/EE or related field, or equivalent experience.
• 6+ years building production systems software.
• Deep experience with at least one batch or cluster scheduler (e.g., Slurm, Kueue, Volcano, KAI, YuniKorn).
• Strong programming in Go, C/C++, plus Python for tooling and analysis.
• Hands-on Kubernetes experience: controllers or operators, CRDs, scheduling and resource management.
• Solid Linux systems knowledge: containers (Docker, Podman, Enroot or Apptainer), cgroups, networking basics and debugging under load.
• A track record of owning a service in production and making it measurably better.
• Clear written and spoken communication with engineers and researchers.

Responsibilities

• Design and build scheduling for large GPU fleets on Slurm and Kubernetes.
• Build the policy layer: fair share, quotas and allocations across research teams.
• Run Slurm as a cloud-native service on Kubernetes, and extend Kubernetes batch scheduling for training and inference.
• Build services around the scheduler: reservation automation, node-health-aware placement, workflow orchestration, and APIs.
• Measure and raise goodput: GPU occupancy, waste, fairness and time to start for large jobs.
• Own reliability for the components you build: on-call, incident analysis and fixes.
• Work upstream and across teams: contribute to Slurm, Kubernetes and related open-source projects.

Skills

Go

C/C++

Python

Kubernetes

Slurm

Kueue

Linux

Cloud

Education

BS/MS in CS/CE/EE or related field

Tools

Docker

Podman

Enroot

Apptainer

Kubernetes Operators/CRDs

Slurm/Open-source schedulers

Job description

NVIDIA Corporation in Austin, TX is seeking a Senior Software Engineer to design and build scheduling for large GPU fleets using Slurm and Kubernetes, extending batch scheduling for AI training and inference. You'll own parts of the scheduling stack, build policy layers for fair sharing, run Slurm on Kubernetes, and contribute to open-source projects while collaborating with researchers and engineers.

The role emphasizes reliability, on-call responsiveness, and measurable improvements in GPU