For a startup developing infrastructure solutions for software applications, with offices in the center
We are 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, creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute.
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 GPUs virtualization technology and makes GPUs first class citizens in Kubernetes.
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 platform.
B.Sc in Computer Science or equivalent.
5+ years of software development experience.
Experience in Backend engineering.
Fast learner with ability to deep dive into details of cutting-edge technologies and deliver solutions.
The following are considered as a plus:
Experience in GoLang / NodeJS/ TypeScript / Python.
Experience in technologies like Docker and Kubernetes.
Good algorithmic skills and abilities to handle complex scheduling algorithms.
Proficiency with Linux, Networking and virtualization.
Experience with open source development.