Senior Software Engineer - DGX Cloud

NVIDIA Corporation; Toronto; Remote; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Software Engineer for DGX Cloud to help scale AI infrastructure. You will automate GPU provisioning, lifecycle management, and cloud integration across providers, building robust health and monitoring for large ML systems.

You will work with Linux, Go/Python/Rust, and container orchestration to deliver reliable software from hardware to AI training workflows. This role offers remote and Toronto-based options in Canada.

Qualifications

• 5+ years of experience in a similar role working on large-scale production systems.

Responsibilities

• Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale ML systems.
• Implement monitoring and health management capabilities for reliability, availability, and scalability of GPU assets.
• Harness data streams from GPU diagnostics to cluster and network telemetry.
• Build automated test infrastructure to qualify distributed systems for operation.
• Partner with NVIDIA teams to ensure seamless integration from hardware to AI training applications.

Skills

Go

Python

Linux

Distributed systems

Data structures

Rust

Education

BS in Computer Science/Engineering/Physics/Mathematics

Tools

Kubernetes

SLURM

Docker

RDMA

Job description

Senior Software Engineer - DGX Cloud# CAREERS AT NVIDIA## Senior Software Engineer - DGX CloudApply: Canada, Remote: Canada, Toronto: Full time: Posted Yesterday: JR2028921Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale. **What you will be doing:*** Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.* Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems.* Implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets.* Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.* Build automated test infrastructure that we use to qualify distributed systems for operation.* Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware all the way up to the AI training applications. **What we need to see:*** 5+ years of experience in a similar role working on large-scale production systems.* BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience.* Expert level knowledge of a systems programming language (Go, Python, and/or Rust) and a solid understanding of Data Structures and Algorithms.* Strong background in Linux system administration and management.* Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM.* Understanding of performance, security, and reliability in complex distributed systems.* Familiarity with system level architecture, data synchronization, fault tolerance, and state management. **Ways to stand out from the crowd:*** Proficiency in designing and building widespread distributed networks.* Experience managing large-scale distributed systems independently of cloud providers.* Extensive expertise in datacenter operations and GPU hardware.* Hands-on experience working with RDMA networking.* Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM).You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 6, 2026.This posting is for an existing vacancy.