We are seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic NVIDIA Robotics DevOps team. The ideal candidate will have a strong background in managing CI/CD infrastructure. You will work on many open-source and non-open-source applications and packages in the robotics field within a small yet highly efficient team. This role will involve ownership of the infrastructure setup and automation, collaborating with other teams, and ensuring the reliability, scalability, and efficiency of our hardware.
What you’ll be doing:
Manage CI runners/executors and capacity across on prem and cloud environments.
Use infrastructure as code to provision and update CI environments and supporting services.
Deploy and extend monitoring, logging, and alerting for CI, GPU servers, Tegra boards, and lab services (e.g., Prometheus, Grafana, ELK style stacks).
Operate Tegra/Jetson testbeds used by CI and developers: provisioning, flashing, OS/JetPack updates, recovery, and reservation/scheduling.
Diagnose and resolve issues spanning power, networking, OS, containers, CI agents, and test infrastructure.
What we need to see:
Bachelor’s or Master’s in CS, CE, EE, or related field (or equivalent experience).
8+ years in DevOps/SRE/infrastructure roles, including ownership of CI or lab environments; 3+ years in a senior capacity.
Practical experience with AWS or similar cloud platforms for CI or compute workloads.
Hands on experience with CI/CD systems (e.g., GitLab CI, GitHub Actions) and Git based workflows.
Strong Linux systems expertise (networking, storage, performance, security).
Proficiency in Python and shell for automation and tooling.
Hands on work with servers, embedded boards, networking gear, and remote management.
Ways to stand out from the crowd:
Experience with NVIDIA Tegra infrastructure.
Solid knowledge of containers and orchestration (Docker, Kubernetes).
Proven track record of driving infrastructure reliability improvements and cross team projects.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor's or Master's in CS, CE, EE, or related field or equivalent experience
- 8+ years in DevOps/SRE/infrastructure roles with ownership of CI or lab environments
- 3+ years in a senior capacity
- Practical experience with AWS or similar cloud platforms for CI or compute workloads
- Hands on experience with CI/CD systems (e.g., GitLab CI, GitHub Actions) and Git based workflows
- Strong Linux systems expertise (networking, storage, performance, security)
- Proficiency in Python and shell for automation and tooling
- Hands on work with servers, embedded boards, networking gear, and remote management
- Manage CI runners/executors and capacity across on‑prem and cloud environments
- Use infrastructure as code to provision and update CI environments and supporting services
- Deploy and extend monitoring, logging, and alerting (Prometheus, Grafana, ELK style stacks)
- Operate Tegra/Jetson testbeds: provisioning, flashing, OS/JetPack updates, recovery, reservation/scheduling
- Experience with NVIDIA Tegra infrastructure
- Knowledge of containers and orchestration (Docker, Kubernetes)
- Proven track record of driving infrastructure reliability improvements and cross team projects
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
