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 Senior 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 source Open Data Hub project by actively participating in strategic upstream communities like Ray/KubeRay, PyTorch, 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

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world’s leading provider of enterprise 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.

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

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.