Senior Kubernetes Developer

NVIDIA
Remote, Switzerland
Télétravail
Cette offre d'emploi n'est pas disponible dans votre pays.

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 Bright Cluster Manager is used to power thousands of Linux clusters around the world, varying from a few nodes to several thousands of nodes.

Bright 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 Bright clusters.

Ensuring that various types of workload can easily utilize GPUs through Kubernetes

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, FPGAs, AI accelerators, high-speed interconnects such as InfiniBand, Omni Path, and Gig-E) and software technologies such as parallel filesystems (e.

g. Lustre, GPFS, BeeGFS, WekaIO), Jupyter, various ML frameworks and tools, Spark, and Ceph.

What we need to see :

Degree in Computer Science or related field.

Fluency in C++ and Python

Experience with concurrent programming techniques

5 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

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.

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