At NVIDIA, our work is dedicated to a computing model passionate about visual and AI computing. For twenty years, NVIDIA has led the way in visual computing, the science and art of computer graphics, through our invention of the GPU. The GPU has proven extremely effective in solving complex computer science challenges. Today, NVIDIA's GPU powers deep learning algorithms, simulating human intelligence. It serves as the brain for computers, robots, and self-driving cars that perceive and interpret the world. We aim to expand our company and teams with the brightest minds globally, and now is an exciting time to join us!
NVIDIA invites applications for a Senior DevOps Platform Engineer skilled in Platform and Release Engineering to join the Metropolis team. The role involves developing, building, and maintaining foundational infrastructure and CI/CD systems that run AI/Machine Learning video analytics workloads at scale using NVIDIA Data Center GPUs. You will foster engineering rigor by setting up reliable release workflows, automation systems, and developer tools to improve efficiency on the Metropolis platform.
What you'll be doing:
Compose, build, and maintain scalable CI/CD pipelines using Jenkins, GitHub/GitLab Actions and Runners for Metropolis software products.
Develop and manage Kubernetes-based platform infrastructure supporting AI/ML workloads on NVIDIA Data Center GPUs.
Build and implement scaling and performance measurement frameworks within Kubernetes to ensure platform reliability and efficiency under AI/ML workload demands.
Define and implement release engineering processes, branching strategies, versioning standards, and gating criteria.
Drive developer efficiency by building and maintaining DevOps MCP servers, tooling, and automation frameworks.
Own observability and monitoring infrastructure using Prometheus, Grafana, and log aggregation pipelines.
Troubleshoot hardware and operating system issues across BareMetal and GPU-accelerated servers to minimize downtime and maintain platform stability.
What we need to see:
BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience, with over 6+ years of relevant industry background.
Advanced skills in Python for scripting, tooling, and automation.
Deep expertise with Kubernetes, Helm, and container orchestration in production environments.
Verified background in building and maintaining CI/CD pipelines at scale (Jenkins, GitHub/GitLab Actions and Runners, or similar).
Solid understanding of Linux systems administration, networking, and distributed systems.
Experience with release engineering practices including semantic versioning, release gating, and change management.
Hands-on experience with observability stacks (Prometheus, Grafana, ELK, or similar).
Ways to stand out from the crowd:
Experience with GPU infrastructure and AI/ML platform engineering at scale.
Background in BareMetal and hybrid cloud (AWS, GCP, Azure) environment management.
Familiarity with NVIDIA Metropolis, DeepStream, or similar AI video analytics platforms.
Experience with GitOps workflows, Infrastructure as Code (Terraform, Ansible).
Track record of driving DevOps culture transformation and developer experience improvements.
NVIDIA is often viewed as one of the most attractive companies to work for in the technology world. We have some of the most progressive and committed professionals in the field on our team. If you are inventive and independent, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 176,000 USD - 276,000 USD.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
- BS or MS in Computer Science, Computer Engineering, or related field, or equivalent experience, with over 6+ years relevant experience
- Advanced skills in Python for scripting, tooling, and automation
- Deep expertise with Kubernetes, Helm, and container orchestration in production environments
- Verified background building and maintaining CI/CD pipelines at scale (Jenkins, GitHub/GitLab Actions and Runners)
- Solid understanding of Linux systems administration, networking, and distributed systems
- Experience with release engineering practices including semantic versioning, release gating, and change management
- Hands-on experience with observability stacks (Prometheus, Grafana, ELK, or similar)
- Experience with GPU infrastructure and AI/ML platform engineering at scale
- Experience with BareMetal and hybrid cloud (AWS, GCP, Azure) environment management
- Familiarity with NVIDIA Metropolis, DeepStream, or similar AI video analytics platforms
- Experience with GitOps workflows and Infrastructure as Code (Terraform, Ansible)
- Track record of driving DevOps culture transformation and developer experience improvements
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.
-
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.
-
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.
-
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.”
