Senior Software Engineer - DGX Cloud

at Nvidia

📍 Canada

CAD 135,000-220,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 4 Data Science Data Structures @ 4 Distributed Systems @ 4 GPU @ 6 Go @ 4 Kubernetes @ 7 Linux @ 7 Machine Learning Mathematics @ 4 Networking @ 4 Python @ 4 Rust @ 4 Security @ 4 Slurm @ 7 System Administration @ 7

Details

Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. The team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment, collaborating closely to design and deliver infrastructure solutions.

Responsibilities

Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
Build end-to-end automation for 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 used to qualify distributed systems for operation.
Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware through to AI training applications.

Requirements

5+ years of experience in a similar role working on large-scale production systems.
Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or another comparable field, or equivalent experience.
Expert-level knowledge of a systems programming language such as Go, Python, and/or Rust.
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.

Preferred Qualifications

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, including Kubernetes and SLURM.

Compensation and Benefits

The expected base salary ranges for this position are 135,000 CAD–185,000 CAD for Level 3 and 170,000 CAD–220,000 CAD for Level 4. Base salary is determined based on location, experience, and other objective job-related factors. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until November 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.