About the job

　　Do you want to design and build the tools that enable creation of the next generation of Foundation Models and Large Language Models (LLMs)? The OpenShift AI team is looking for a Principal Software Engineer with Kubernetes and MLOps experience to join our rapidly growing engineering team. Our team creates the tools necessary for enterprise data science teams to leverage distributed compute infrastructure across the hybrid cloud when training today’s most complex ML models. This is a very exciting opportunity to build and impact creation of the next generation of AI.

　　In this role, you'll be contributing as an expert on ML model training and the tools necessary to support it at enterprise scale. Your contributions will enable bleeding edge platform capabilities around distributed computation and model training, kubernetes-native job scheduling, and kubernetes-native resource optimization. You’ll lead the architecture and implementation of this space in the open sourceOpen Data Hub (https://opendatahub.io/) project by actively participating in strategic upstream communities likeRay (https://github.com/ray-project/ray) /KubeRay (https://github.com/ray-project/kuberay) ,PyTorch (https://github.com/pytorch/pytorch) ,HuggingFace (https://github.com/huggingface) , and others. You will work as part of an evolving development team to rapidly design, secure, build, test and release distributed model training capabilities. The role is primarily an individual contributor who will be a key notable contributor to MLOps upstream communities and collaborate closely with the internal cross-functional development teams.

　　What you will do

　　Be an influencer and leader in MLOps related open source communities to help build an active MLOps open source ecosystem for Open Data Hub and OpenShift AI

　　Architect and lead implementation of scalable open source solutions for Data Scientists to leverage distributed computing capabilities to train their Machine Learning models, running on OpenShift

　　Act as a MLOps SME within Red Hat by supporting customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practice

　　Architect and design new features for open source communities such as KubeRay, Ray, PyTorch, and CodeFlare

　　Provide technical vision and leadership on critical and high impact projects

　　Mentor, influence, and coach a distributed team of engineers

　　What you will bring

　　An existing contributor in one or more MLOps open source projects such as Ray/KubeRay, KubeFlow, Pytorch, or Spark

　　Recent hands on experience with distributed computation tools like Ray or Spark, either at the end-user or infrastructure provider level

　　Experience training ML models using tools like Pytorch or Tensorflow

　　Advanced level of experience with Kubernetes

　　Advanced level knowledge and experience in development in Go and Python

　　Technical leadership acumen in a global team environment

　　Passion for writing and maintaining reliable code

　　Excellent written and verbal communication skills; fluent English language skills

　　The following will be considered a plus:

　　Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field, or equivalent expertise; Master’s or PhD is a big plus

　　Experience in engineering, consulting or another field related to distributed model training or data processing in a customer environment or supporting a data science team

　　Highly experienced in OpenShift

　　Familiarity with popular python machine learning tools such as PyTorch, Tensorflow, and Hugging Face

　　#LI-REMOTE

　　#LI-LS2

　　About Red Hat

　　Red Hat is the world’s leading provider of enterpriseopen source (https://www.redhat.com/en/about/open-source) software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex.

　　Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.

　　Diversity, Equity & Inclusion at Red Hat

　　Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

　　Equal Opportunity Policy (EEO)

　　Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

　　Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

　　Posting Location : Location CA-ON-Remote

　　Posting date 1 week ago (1/19/2024 11:16 AM)

　　Job ID 101161

　　Category Software Engineering