Senior AI Infra Engineer — GPU, Kubernetes, RDMA (Equity)

NVIDIA Corporation; 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

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