Company Description

Run:AI is bridging the gap between data science and computing infrastructure by creating a high-performance compute virtualization layer for deep learning, speeding the training of neural network models and enabling the development of large AI models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute.

Job Description

Run:AI provides organizations with a world-class machine learning platform to improve productivity and efficiency for data scientists. Our product provides a unique HPC scheduler, relies on advanced GPU virtualization technology and makes GPUs first class citizens in Kubernetes.

Run:AI engineers are Kubernetes experts, develop cutting edge technologies and strive to get the best user experience and efficiency for our customers.

In this role you will take a main part in defining and developing the Run:AI platform.

Qualifications

• B.Sc in Computer Science from a leading university or equivalent experience.
• 5+ years of experience in backend software development.
• Strong coding skills in one or more backend programming languages (we write in Go).
• Proven experience with system design and architecture.
• Deep understanding of microservices architecture, RESTful APIs, and relational databases.
• Fast learner with ability to deep dive into details of cutting-edge technologies and deliver solutions.

The following are considered a big plus:

• Experience with Kubernetes and the cloud-native ecosystem.
• Proficiency in Linux, networking, security, and virtualization.