Senior DevOps Engineer at NVIDIA

**Who this is for** A hands-on DevOps expert who is passionate about architecting large-scale CI/CD infrastructure and optimizing automated build environments f

Work type: onsite

Location: US, CA, Santa Clara

Type: Full-time

Summary

**Who this is for** A hands-on DevOps expert who is passionate about architecting large-scale CI/CD infrastructure and optimizing automated build environments for a global software organization. **Key highlights** You will work within the IPP group to support hundreds of thousands of automated daily jobs across a heterogeneous mix of hardware platforms, GPUs, and operating systems. **You might be a good fit if you...** - Have 8+ years of experience managing complex DevOps pipelines and high-availability systems. - Are highly skilled in infrastructure automation (Ansible/Chef/Puppet) and container orchestration. - Have a solid background in data pipelines (Kafka/Elasticsearch) and monitoring tools (Prometheus/Grafana). - Are proactive about identifying operational inefficiencies and analyzing real-time production data to drive optimization.

Job Description

NVIDIA is looking for a Senior DevOps Engineer to work in IPP (Infrastructure, Planning and Process). IPP is a core software infrastructure organization within NVIDIA. This group works with various other groups within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide.

The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them? We are looking forward to onboard a fun-loving person like you.

What you’ll be doing:

Architecting, implementing, and supporting end-to-end CI/CD system using open-source and NVIDIA proprietary software.

Create resilient, scalable, and efficient Build and deployment pipelines.

Design and implement complex automation platforms to identify & resolve operational inefficiencies.

Triaging software, hardware and infrastructure issues and maintaining high availability for our infrastructure & services.

Deploying & Monitoring critical high performance, large scale services running on Geo-distributed systems.

Continuously Strive for efficient utilization & management of the infrastructure.

Driving automation to monitor and gain more insight into applications and system health.

Work with architects and engineers across the teams to review the designs & solutions during development and deployment phases.

Collaborate with our other engineering teams to deliver reliable, robust, and high-performance capability of the underlying infra.

Mine & analyse data from multiple sources for identifying scaling & optimization opportunities

What we need to see:

Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.

8+ years of experience as a DevOps Expert designing, implementing & managing sophisticated software systems supporting DevOps platforms and pipelines.

Hands-on experience with containerization - Kubernetes, dockers & virtualization.

Solid automation skills and the ability to drive initiatives to automate processes.

Excellent knowledge of infrastructure automation tools (Ansible, Chef, Puppet) & CI/CD tools like Jenkins, etc.

Experienced in data pipelines setup via Kafka, Filebeat and visualization using tools like Elastic search, Grafana, Kibana, Tableau

Working Knowledge of Devops monitoring systems such as Zabbix, Prometheus and/or similar systems.

Fluency in using MySQL or equivalent NoSQL databases queries

Working Experience with Perforce, GIT or any other version control system is necessary.

Exposure to CSPs like, AWS, Azure, GCP & Managed Services

Ways to stand out from the crowd:

Excellent communication and interpersonal skills, with the ability to collaborate effectively with multi-functional teams and partners.

Flexibility to work in shifts and Weekends in the hour of need

Experience in Building regression detection systems by analyzing real-time production data, emphasizing important metrics.

Knowledge of Agile principles and practices and the ability to transfer that understanding at all levels of the organization.

Innovating with industry-standard tools and collaborating with the open source community

Ability to self-manage, show leadership, mentor others and communicate well.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. If you are creative and passionate about developing cloud services, we want to hear from you! Widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and passionate about developing cloud services we want you on our team!

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 for Level 4, and 208,000 USD - 333,500 USD for Level 5.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 24, 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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