1 day ago
Toronto, CanadaSenior
Responsibilities
- Design, develop, and operate pipelines for building, testing, packaging, and releasing NVIDIA Isaac Sim and its components.
- Own GPU-enabled CI runners and test environments across on-premises and cloud infrastructure, including provisioning, scheduling, capacity planning, and recovery.
- Integrate automated simulation, integration, and performance tests into pull-request validation, nightly builds, and release qualification.
- Improve build and test performance through parallel execution, caching, GPU utilization, and bottleneck analysis.
- Develop reproducible environments and versioned artifacts while managing dependencies, containers, operating-system compatibility, and GPU software configurations.
- Build dashboards, logging, and alerts for pipeline health, infrastructure availability, test failures, and performance trends.
- Diagnose failures involving build tools, operating systems, containers, GPU drivers, networking, and simulation runtimes while reducing flaky tests.
- Strengthen release automation through artifact traceability, quality gates, dependency scanning, and secure credential management.
Requirements
- Bachelor's or master's degree in computer science, computer engineering, or a related field, or equivalent experience.
- At least 5 years of relevant experience in DevOps, infrastructure engineering, build and release engineering, or software engineering with ownership of CI/CD systems.
- Strong Python and Bash programming skills and experience developing maintainable automation.
- Hands-on experience with Git-based development and CI/CD platforms such as GitLab CI, GitHub Actions, or Jenkins.
- Strong Linux administration and troubleshooting skills covering networking, storage, processes, and performance.
- Experience with Docker, container orchestration, and infrastructure automation using Kubernetes, Terraform, or Ansible.
- Experience supporting automated tests, managing build artifacts and dependencies, and troubleshooting complex software pipelines.
- Strong communication and cross-functional collaboration skills.
- Preferred experience includes Isaac Sim, Isaac Lab, Omniverse, OpenUSD, robotics simulation platforms, GPU infrastructure, NVIDIA drivers, CUDA, graphics runtimes, C++ build systems, CMake, Python packaging, Linux and Windows software distribution, CI security, and untrusted contributions.
Benefits
- Base salary range is 130,000 CAD to 180,000 CAD, determined by location, experience, and comparable employee pay.
- Eligible for equity and benefits.
- Applications are accepted at least until October 20, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.