Senior Software Engineer, AI Compute Scheduling

NVIDIA Corporation; Santa Clara (CA); In loco; USD 180.000 - 270.000; Tempo pieno

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Equity

Benefits

Descrizione del lavoro

NVIDIA Corporation in Santa Clara is seeking an experienced engineer to design, build, and operate scheduling systems for large GPU fleets using Slurm and Kubernetes. You will improve GPU utilization and service reliability, build orchestration APIs, and contribute to open-source projects while collaborating with platform and research teams.

The role requires a strong background in batch/cluster scheduling, Go/C/C++, Python, and hands-on Kubernetes and Linux expertise, with a track record of

Competenze

• Requires a bachelor's or master's degree in a relevant engineering or computer science field, or equivalent experience.
• At least six years building production systems software.
• Deep experience with a batch or cluster scheduler and strong Go, C, or C++ programming plus Python.

Mansioni

• Design, build, and operate scheduling systems for large GPU fleets using Slurm and Kubernetes.
• Improve GPU utilization and service reliability.
• Contribute to open-source projects while collaborating with platform and research teams.

Conoscenze

Go

C

C++

Python

Slurm

Kubernetes

Kueue

Batch Scheduling

Cluster Scheduling

Linux Systems

Containers

Cgroups

GPU Scheduling

Topology-Aware Placement

Production Reliability

Workflow Orchestration

Formazione

Bachelor's or Master's degree in relevant field or equivalent experience

Strumenti

Slurm

Kubernetes

Kueue

Containers

Cgroups

Descrizione del lavoro

Design, build, and operate scheduling systems for large GPU fleets using Slurm and Kubernetes, including queueing, topology-aware placement, fair sharing, quotas, preemption, and reservations. Improve GPU utilization and service reliability, build supporting orchestration and APIs, and contribute to open-source projects while collaborating with platform and research teams.

Requirements:

Requires a bachelor's or master's degree in a relevant engineering or computer science field, or equivalent experience, and at least six years building production systems software. Candidates need deep experience with a batch or cluster scheduler, strong Go, C, or C++ programming plus Python, hands-on Kubernetes and Linux expertise, and a record of improving production services.

Key Skills:

Go, C, C++, Python, Slurm, Kubernetes, Kueue, Batch Scheduling, Cluster Scheduling, Linux Systems, Containers, Cgroups, GPU Scheduling, Topology-Aware Placement, Production Reliability, Workflow Orchestration

Benefits:

Equity, Benefits