At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an Nvidian, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a Senior DevOps Engineer to work in IPP (Infrastructure, Planning and Process) Sanity Engineering. 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 a sophisticated workspace and are ready to build the next generation of cloud services for chip bringups, 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:
Lead end to end SW infrastructure bringup execution of new Nvidia GPU product.
Develop framework and scripts to automate workflows and deployments in the private cloud environment.
Have a thorough understanding of Nvidia GPU hardware and driver stack, SBIOS, VBIOS and should be able to enhance automation for farm wide updates of firmware.
Optimize farm utilization of GPU resources by identifying right set of regression test coverage.
Champion config automation using world-class configuration management & infrastructure automation (IaC) tools like Chef, Puppet, Ansible, Terraform etc.
Execute on bringup of specialized products used for accelerated computing and secure AI (Nvidia Confidential Computing), in fast-paced and critically important environments.
Develop extensive monitoring dashboards systems to have fast, reliable and real-time pulse of the various infrastructure subsystems using state of the art telemetry.
Will be leading a service charter completely, and will be essentially a responsible pilot in charge for the development, monitoring and automation of that infrastructure.
Automation and performance tuning of regression test frameworks, creation of self healing/automated recovery solutions for multi-geo regression farms.
Coherent engagement with collaborators and partner teams across organizations to deliver onboarding of new products in CI/CD.
Implement seamlessly on multiple parallel bringups scoped out in Nvidia Product Bringup landscape.
What we need to see:
Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
8+ years of relevant experience.
Hands-on coding and debug experience (with any including but not limited to Python, JAVA etc.), cross compiling source code on various platforms, triage, root cause and resolve issues in the bringup infrastructure.
Familiar with maintenance and setup of Linux, Windows (x64 and arm) hosts, VM and container based environments.
Unix & TCL shell proficiency is expected.
Experience in MySQL/No-SQL(plus), should be able to write complex queries.
Experience with version control systems like Perforce, GIT.
Demonstrable experience working in large scale enterprise production systems. 8+ years of development and operations experience required.
Ways to stand out from the crowd:
Expertise in creating agentic AI to orchestrate GPU fleet management is a plus.
Strong background with automating bare metal and VM provisioning at large scale.
Prior knowledge of VM isolation for GPUs, Nvidia Confidential Computing etc is a major plus.
Experience with public cloud platforms (AWS, GCP, Azure) and virtualization technologies such as VMware, KVM, Docker, and Kubernetes clusters is desirable
Experience with debugging GPU performance issues, embedded device software development and automation, software driver development and CUDA/TensorRT applications.
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.
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.Top Skills
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.”
