Senior Software Engineer - DGX Cloud

CA01 NVIDIA Canada Dev. Inc.; Canada; Remote; CAD 130,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Canada is seeking engineers to scale AI infrastructure powering data science applications. You will contribute to a platform automating GPU provisioning, config, and lifecycle management across cloud providers, while building end-to-end automation for data center management and ML systems.

You will leverage Go, Python, or Rust, plus deep Linux expertise and experience with Kubernetes/SLURM, to deliver reliable, scalable GPU assets and integrated software from hardware to AI

Qualifications

• BS in Computer Science/Engineering/Physics/Math or equivalent experience.
• Expert-level knowledge of Go, Python, and/or Rust with strong DS&A fundamentals.
• Strong Linux system administration and management background.

Responsibilities

• Contribute to a platform automating GPU asset provisioning and lifecycle management across cloud providers.
• Automate data center management, break/fix, and system upkeep for large-scale ML systems.
• Implement monitoring and health management for reliable, scalable GPU assets.
• Harness data streams from hardware diagnostics to cluster telemetry.
• Collaborate with NVIDIA teams to ensure seamless software integration from hardware to AI training apps.

Skills

Go

Python

Rust

Linux

Kubernetes

SLURM

Networking

Algorithms

Education

BS in Computer Science or related field

Tools

Kubernetes

SLURM

RDMA

Job description

Join 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. NVIDIA uses AI tools in its recruiting processes. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.