Senior Manager, AI Inference

Reposted 25 Days Ago
Be an Early Applicant
Boston, MA, USA
In-Office
211K-358K Annually
Senior level
Cloud • Information Technology • Internet of Things • Software • Consulting • Infrastructure as a Service (IaaS) • Automation
Creating better technology the open source way
The Role
The Senior Manager of AI Inference at Red Hat leads engineering teams to innovate in AI and ML, focusing on model performance and MLOps software development. Responsibilities include setting vision, mentoring team members, and engaging in open-source communities.
Summary Generated by Built In

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 a Senior Engineering Manager of the Machine Learning Engineering team focused on vLLM inference, 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. You would be joining the core team behind 2025's most popular open source project on GitHub. 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 Inference!

What you will do

  • Setting the overarching vision, objectives, and strategies for a group of engineering teams and engineering managers.

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

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

  • Meet and present technical presentations to customers and partners as necessary.

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

  • Recruit and build a world class engineering team.

What you will bring

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

  • 5+ years of experience in 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 and engineering managers

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

  • Extremely proficient in running and analyzing LLM performance and accuracy benchmarks across a variety of accelerators.

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

  • Experience with developing and scaling applications with Kubernetes.

  • Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, and a multi-agent driven orchestration and automation to accelerate development cycles and enhance code quality.

  • 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

#vllm-1

The salary range for this position is $210,730.00 - $358,070.00. Actual offer will be based on your qualifications.

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.


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. If you need assistance completing our online job application, email [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply. 

Skills Required

  • 10+ years of hands-on software development and system design experience
  • 5+ years managing software engineering teams
  • Experience in leading machine learning engineering teams
  • Experience with PyTorch and HuggingFace
  • Proficient in analyzing LLM performance
  • Excellent programming skills in Python, C++, CUDA
  • Experience with Kubernetes for application scaling
  • Excellent written and verbal communication skills

Red Hat Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Hat and has not been reviewed or approved by Red Hat.

  • Healthcare Strength Healthcare coverage is presented as comprehensive, spanning medical, dental, and vision along with life and disability coverage. Access to HSA/FSA options and broadly positive reception of health benefits support the view that healthcare is a core strength.
  • Leave & Time Off Breadth Time-off offerings are described as generous, with substantial PTO for new hires plus additional recharge days and an end-of-year shutdown for many non-critical roles. Paid volunteer time, holidays, sick days, and supportive expectations around taking time off reinforce the breadth of leave benefits.
  • Strong & Reliable Incentives The rewards package includes performance bonuses and a recurring quarterly bonus program tied to company and individual performance. Availability of ESPP participation further adds to incentive pathways beyond base pay.

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The Company
HQ: Raleigh, NC
20,000 Employees
Year Founded: 1993

What We Do

At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, storage, and virtualization technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies.

Why Work With Us

Red Hatters freely exchange different viewpoints, contribute ideas, and solve problems together. Our love of collaboration, accountability, a sense of community, and a measure of autonomy combine to create a powerful force that fosters innovation and makes Red Hat a great place to work.

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