Senior DevOps Engineer - Robotics Simulation
Required skills
- DevOps
- infrastructure engineering
- software engineering
- CI/CD systems
- Python
- Bash
- automation
- Git
- GitLab CI
- GitHub Actions
Nice to have
- Isaac Sim
- Isaac Lab
- Omniverse
- OpenUSD
- robotics simulation platforms
- GPU infrastructure
Role summary
NVIDIA is seeking a Senior DevOps Engineer to build and scale CI/CD infrastructure for their robotics simulation platform, Isaac Sim. This role involves designing and operating pipelines for building, testing, and releasing software, managing GPU-enabled CI runners and test environments across on-premises and cloud platforms. The engineer will partner with development and QA teams to integrate automated testing, improve build/test turnaround times, and ensure reproducible environments. Responsibilities include diagnosing failures, strengthening release automation, and building dashboards for pipeline health monitoring. The ideal candidate has 5+ years of relevant experience, strong Python/Bash skills, and expertise in Linux, Docker, Kubernetes, Terraform, and Ansible.
We are looking for a Senior DevOps Engineer to build and scale the continuous integration, testing, and release infrastructure for NVIDIA Isaac Sim!
NVIDIA Isaac Sim is a cutting-edge robotics simulation platform that empowers researchers and engineers to accelerate the development and deployment of intelligent robots. 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. Your work will enable engineers to identify regressions early and deliver high-quality releases across supported platforms.
What you’ll be doing:
- 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.
- Build dashboards, logging, and alerts that expose pipeline health, infrastructure availability, test failures, and performance trends.
- Diagnose failures across build tools, operating systems, containers, GPU drivers, networking, and simulation runtimes; improve failure reporting and reduce flaky tests.
- Strengthen release automation through artifact traceability, quality gates, dependency scanning, and secure credential management.
What we need to see:
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (equivalent experience).
- 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, including networking, storage, processes, and performance.
- Experience with Docker, container orchestration, and infrastructure automation using tools such as Kubernetes, Terraform, or Ansible.
- 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.
Ways to stand out from the crowd:
- Experience with Isaac Sim, Isaac Lab, Omniverse, OpenUSD, or other robotics simulation platforms.
- Experience operating GPU infrastructure and debugging NVIDIA driver, CUDA, or graphics-runtime issues.
- Familiarity with C++ build systems, CMake, Python packaging, and software distribution across Linux and Windows.
- A track record of improving CI reliability, reducing build times, and increasing infrastructure utilization.
- Experience securing CI for open-source projects and untrusted contributions.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 20, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Originally posted on Himalayas
Sample NVIDIA interview questions
- 1
Design a system for a rock paper scissors game
system designmedium - 2
Implement a distributed data migration management platform.
system designmedium - 3
Design a Distributed Build System with Cross-Data Center Artifact Sharing
system designhard - 4
Design a distributed training system for a trillion-parameter language model
system designmedium - 5
Develop a distributed tracing system for tracking and debugging.
system designmedium
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