Senior Software Engineer, Infrastructure

at  CentML

POSITION OVERVIEW:

We are seeking a highly motivated and skilled senior infrastructure engineer to join our team in a key role focused on designing, developing, and maintaining the CentML platform that offers a cost effective infrastructure for serving and training large scale machine learning models. As an infrastructure engineer, you will be responsible for laying out the design of a deployment infrastructure for ML training and inference jobs over GPU clusters that spans across multiple cloud service providers like AWS, GCP, Azure, Coreweave, and OCI. You should also be responsible for leading a team of engineers and building a scalable, performant, and reliable platform, enabling our customers to seamlessly access and utilize a comprehensive suite of ML services that we offer.

QUALIFICATIONS

• 4+ years of experience working with containerized deployment systems (e.g, kubernetes, openshift, terraform etc.).
• A big plus if you have contributed to kubernetes and have expertise in container runtime technologies like docker engine, containerd, or CRI-O
• Experience with deploying and managing cloud infrastructure on AWS, GCP, Azure
• Past experience in building GPU clusters for large scale ML training and inference is desirable.
• Knowledge in GPU architecture and Nvidia GPU virtualization technologies is highly desirable.
• Strong coding skills in languages like Python, Java, Go, and/or C/C++.

• Design and lead the development of the deployment infrastructure of the CentML platform. The deployment infrastructure manages the hardware resources necessary to deploy the ML training and inference applications.
• Implementing GPU cluster scheduling solutions for large scale ML training and inference workloads to efficiently utilize the hardware resources in the GPU cluster.
• Communicate with our product teams and define new features and goals for improving the CentML platform.