Engineering Manager, vLLM Inference

About the Job

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 engineering team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.

As an Engineering Manager of the Machine Learning Engineering team focused on vLLM, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your technical and people leadership with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.

Join us in shaping the future of AI!

What you will do

• Lead and inspire a distributed team of individual contributors, fostering a collaborative and innovative work environment.

• Engage with the AI and machine learning open source communities such as  vLLM, llm-d, and several other open source communities.

• Work with product management and engineering teams to develop technology roadmaps and schedules, and communicate these schedules externally.

• Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.

• Working closely with the technical leads and scrum leads to direct the team in agile development. 

• Mentor and nurture team members in their career development, and professional growth.

• Recruit and build a world class engineering team.

What you will bring

• 5+ years of significant hands-on software development and system design experience.

• 2+ years of managing software engineering teams.

• Proven experience in leading machine learning engineering teams, with a track record of successful project delivery and development of software engineers.

• Experience in machine learning frameworks and tools, such as PyTorch, and HuggingFace.

• Excellent programming skills in languages like Python, or C++/CUDA.

• Experience with developing and scaling applications with Kubernetes. 

• Solid understanding of core machine learning concepts. 

• Excellent written and verbal communication skills.

• Ability to lead and work with diverse and distributed teams from multiple countries and cultures.

#LI-MD2

#AI-HIRING

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 work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. 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.

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.