Senior System Software Developer

Reposted 3 Days Ago
Be an Early Applicant
6 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop Kubernetes functionality for Linux-based cluster management software, ensuring GPU workloads, integrating NVIDIA components, and assisting support with Kubernetes issues.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, 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 have positions available for enthusiastic and experienced software developers for the development of Kubernetes related functionality in our Linux-based cluster software environment. NVIDIA's Base Command Manager is used to power thousands of Linux clusters around the world, varying from a few nodes to several thousands of nodes. Base Command Manager clusters can run on-premises, completely in the cloud, or in a hybrid environment.

What you'll be doing:

  • Development of Kubernetes integration in our Linux-based cluster management software product. You will allow customers to set up, manage and monitor Kubernetes deployments on their BCM clusters.

  • Integrating other NVIDIA components into Base Command Manager.

  • Ensuring that various types of workload can easily utilize GPUs through Kubernetes or other workload management systems such as Slurm.

  • Development of various Kubernetes operators to facilitate different types of workload in Kubernetes.

  • Following the latest developments in the area of Kubernetes.

  • Assisting the support team with Kubernetes specific support tickets that require specific expertise.

  • Working with the latest hardware (e.g. GPUs, AI accelerators, high-speed interconnects such as InfiniBand and Spectrum X) and software technologies such as parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO), Jupyter, various ML frameworks and tools, and Ceph.

What we need to see:

  • Degree in Computer Science or related field. 

  • Fluency in C++ and/or Python

  • Experience with concurrent programming techniques

  • 7+ years of relevant experience, ideally in the area of systems programming

  • In-depth knowledge of Linux and Kubernetes

Ways to stand out from the crowd:

  • Experience with high-performance computing and system administration would be an asset

  • Experience with Slurm

  • Background with GoLang would be beneficial

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative, autonomous, and looking for a challenge? If so, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

Beegfs
C++
Ceph
Go
Gpfs
Jupyter
Kubernetes
Linux
Lustre
Python
Slurm
Wekaio
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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