Nvidia
Senior DevOps Engineer - Robotics Simulation
Canada, Toronto, Remote - Canada · Senior
Sponsorship not specifiedDetected 5 days ago
PythonC++BashGitCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsLinuxDevOpsRoboticsCommunication
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odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 399 green-card filings in this occupation, 96% were for a worker who already held the job.
Green-card follow-through: 95%
Of 584 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- Leveraging the power of NVIDIA's AI and GPU technologies, Isaac Sim offers a realistic and scalable environment for training, validating, and optimizing robots for real-world scenarios.
- You will work closely with Isaac Sim developers, QA, and infrastructure teams to make software delivery faster, more reliable, and reproducible.
- Strengthen release automation through artifact traceability, quality gates, dependency scanning, and secure credential management.
Responsibilities
- Design, develop, and operate CI/CD pipelines for building, testing, packaging, and releasing 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.
- Partner with developers and QA to integrate automated simulation, integration, and performance tests into pull-request validation, nightly builds, and release qualification.
- Improve build and test turnaround through parallel execution, caching, efficient GPU utilization, and systematic analysis of bottlenecks.
- Develop reproducible environments and versioned artifacts, managing dependencies, containers, and compatibility across supported operating systems and GPU software configurations.
- Diagnose failures across build tools, operating systems, containers, GPU drivers, networking, and simulation runtimes; improve failure reporting and reduce flaky tests.
- 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.
- Experience supporting automated tests, managing build artifacts and dependencies, and troubleshooting complex software pipelines.
- Strong communication skills and the ability to collaborate across engineering teams and drive infrastructure improvements.
Requirements
- What we need to see: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (equivalent experience).
- Hands-on experience with Git-based development and CI/CD platforms such as GitLab CI, GitHub Actions, or Jenkins.
- Experience with Docker, container orchestration, and infrastructure automation using tools such as Kubernetes, Terraform, or Ansible.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (equivalent experience).
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 130,000 CAD - 180,000 CAD.
Benefits
- Build dashboards, logging, and alerts that expose pipeline health, infrastructure availability, test failures, and performance trends.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.