Senior Mlops Engineer, Vllm Inference

Overview
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise.
Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments.
As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model compression, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.
We are seeking an experienced ML Ops engineer to work closely with our product and research teams to scale SOTA deep learning products and software.
As an ML Ops engineer, you will work closely with our technical and research teams to manage training and deployment pipelines, create DevOps and CI/CD infrastructure, and scale our current technology stack.
If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning, this is the role for you
In this role, your primary responsibility will be to build and release the Red Hat AI Inference runtimes, continuously improve the processes and tooling used by the DevOps team, and find opportunities to automate procedures and tasks.
Join us in shaping the future of AI
What you will do
Collaborate with research and product development teams to scale machine learning products for internal and external applications
Create and manage model training and deployment pipelines
Actively contribute to managing and releasing upstream and midstream product builds
Test to ensure correctness, responsiveness, and efficiency
Troubleshoot, debug and upgrade Dev & Test pipelines
Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
Collaborate with a cross-functional team about market requirements and best practices
Keep abreast of the latest technologies and standards in the field
What you will bring
2+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices
Experience evaluating LLMs for performance on accelerators and accuracy (think HellaSwag, MMLU, Chatbot Arena, TruthfulQA, etc.).
Being super comfortable with Python and PyTest is a must.
Strong experience with Git, Github Actions including self-hosted runners, Terraform, Jenkins, Ansible, and common technologies for automation and monitoring
Highly experienced with administering Kubernetes/Openshift
Familiar with Agile development methodology
Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud
Solid programming skills especially in Python
Solid troubleshooting skills
Ability to interact comfortably with the other members of a large, geographically dispersed team
Experience maintaining an infrastructure and ensuring stability
Familiarity with contributing to the vLLM CI community is a big plus
Note:
While a Bachelor's degree or higher in computer science, mathematics, or a related discipline is valued, we prioritize technical prowess, initiative, problem solving, and practical experience
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.
Pay Transparency
The salary range for this position is $133,650.00 - $220,680.00.
Actual offer will be based on your qualifications.
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.
We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
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.
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 different 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 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.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants.
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General inquiries, such as those regarding the status of a job application, will not receive a reply.
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