Senior DevOps Engineer - Robotics
$184000 - $287500/year
Job Description
We are seeking a highly skilled and experienced Senior DevOps Engineer to join NVIDIA’s Robotics DevOps team! The ideal candidate will bring deep expertise in CI/CD infrastructure along with hands‑on experience supporting robotics software, including ROS 2–based systems.
In this role, you will work on a combination of open‑source and proprietary robotics applications and packages, collaborating within a small, highly efficient team. You will take ownership of critical platform infrastructure and automation, partner closely with multiple engineering teams, and ensure the reliability, scalability, and efficiency of NVIDIA’s build, test, and release processes for our robotics platform.
What You’ll Be Doing:
- Build, operate, and continually improve end-to-end CI/CD pipelines for our Isaac robotics platform including development workflows built on ROS 2.
- Ensure consistent and reproducible behavior across NVIDIA compute platforms for core Isaac ROS workflows, including pre‑merge validation, nightly testing, and release pipelines.
- Triage CI failures to clearly distinguish infrastructure issues from product issues and drive the resolution of infrastructure‑owned problems.
- Improve observability and operational excellence across pipelines and deployed systems through automation, metrics, logging, and monitoring.
- Partner with robotics and platform engineers to streamline ROS 2 development workflows, including multi‑repository builds, complex dependency graphs, and platform‑specific targets.
- Contribute to technical direction, documentation, and standards to raise the overall quality and reliability bar.
What We Need to See:
- BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or (equivalent experience).
- 8+ years of experience in DevOps, SRE, or infrastructure engineering roles, including ownership of CI or lab environments, with a minimum of 3 years operating at a senior level.
- Practical experience using AWS or similar cloud platforms to support CI or compute workloads.
- Hands‑on experience with CI/CD systems such as GitLab CI and GitHub Actions, along with strong proficiency in Git‑based development workflows.
- Strong Linux systems expertise, including networking, storage, performance, and security.
- A proven understanding of container technologies such as Docker; experience with Kubernetes is a plus.
- Experience building and testing C++ and Python services or libraries on Linux.
Ways to Stand Out from the Crowd:
- Proven experience working with ROS 2, and ideally direct experience with Isaac ROS development.
- Ability to work with multi‑architecture CI environments including embedded systems and hardware‑accelerated workloads.
- Previous experience in release engineering, including branching strategies, package publishing, and artifact or content delivery network distribution.
- Contributions to internal or open source tooling related to CI/CD systems, embedded deployment systems, or robotics infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing