We are the CUDA Math Libraries team at NVIDIA -- consistently named one of America's Best Places to Work by Glassdoor. We are looking for a Senior DevOps Engineer to join our team, although Developer Experience Engineer, Site Reliability Engineer, Build and Release Engineer, Continuous Integration Engineer.. all can be valid titles for this role. Our team builds software that finds its way into AI applications, self-driving cars, and some of the world's fastest supercomputers solving challenges in science, medicine, and engineering. We're looking for someone with strong integrity, reliability, persistence, problem-solving ability, and skills in Linux, scripting, debugging, and troubleshooting.
What you will be doing:
Building a world-class CI/CD platform that empowers engineers to create groundbreaking, high-performance software for a diverse ecosystem—all running on revolutionary hardware—at a scale few can imagine.
Being part of a team that pushes the boundaries of what’s possible on the most powerful compute platforms in the world.
Running builds and tests on many architectures, operating systems, and devices.
Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all.
Building relationships that allow us to work together as a team, not a group.
Working in a highly dynamic environment where we have to think on our feet.
What we need to see:
6+ years of relevant industry experience.
Proficient with Linux.
Bachelors degree in a related area of study or equivalent experience.
Expert with scripting in one or more of Python, Perl, shell, Groovy, etc..
Strong background with deploying, configuring, and debugging distributed systems.
You should be familiar with the software build process (read compiling C++ code with GNU Make, CMake, Visual Studio, MSBuild, etc.).
Background with some form of source control management (SCM), preferably git.
Familiar with containers.
Ways to stand out from the crowd:
Experience with HPC hardware systems such as compute clusters and HPC software performance benchmarking on such systems.
System administrator level experience with multi-user Linux servers.
Background with GPU accelerated systems.
Experience working in an environment where Agile processes and methodologies are used.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come help us build the real-time, efficient computing platform driving our success in the dynamic and quickly growing field Deep Learning and Artificial Intelligence.
#LI-Hybrid
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.
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.”
