Senior Software Engineer, Data Platform

2 weeks ago


Toronto ON, Canada CentML Full time

Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
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.
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.
4+ years of experience working with containerized deployment systems (e.Past experience in building GPU clusters for large scale ML training and inference is desirable.
~ Strong coding skills in languages like Python, Java, Go, and/or C/C++.

Fully stocked kitchen at the office
- Full health and dental benefits
-



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