Senior Software Engineer, AI Compute Scheduling

NVIDIA Corporation; Westford (MA); In loco; USD 170.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Descrizione del lavoro

NVIDIA Corporation in Westford, MA is seeking an experienced engineer to design and operate scheduling systems for large GPU fleets using Slurm and Kubernetes. You will work on topology-aware placement, fair sharing, quotas, preemption, reservations, and batch workloads.

You will own production reliability, improve GPU utilization and scheduling performance, and collaborate with platform and research teams while contributing to open-source projects.

Competenze

• 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; strong Go, C, or C++ programming skills; Python proficiency.

Mansioni

• Design and operate scheduling systems for large GPU fleets using Slurm and Kubernetes.
• Improve GPU utilization and scheduling performance.
• Own production reliability and respond to incidents.
• Collaborate with platform and research teams; contribute to open-source projects.

Conoscenze

Go

C

C++

Python

Kubernetes

Slurm

Batch Scheduling

GPU Scheduling

Linux

Distributed Systems

Formazione

Bachelor's or Master's degree in CS/Engineering

Strumenti

Kubernetes Controllers

Containers

cgroups

Descrizione del lavoro

Design and operate scheduling systems for large GPU fleets across Slurm and Kubernetes, including topology-aware placement, fair sharing, quotas, preemption, reservations, and batch workloads. Build supporting services, improve GPU utilization and scheduling performance, own production reliability, 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 should have deep experience with a batch or cluster scheduler, strong Go, C, or C++ programming skills, Python proficiency, hands-on Kubernetes experience, solid Linux knowledge, and a record of improving production services.

Key Skills

Slurm, Kubernetes, Go, C, C++, Python, Batch Scheduling, Cluster Scheduling, GPU Scheduling, Kubernetes Controllers and Operators, Linux Systems, Containers, cgroups, Distributed Systems, Production Service Reliability, Workflow Orchestration

Benefits

Equity, Benefits