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Principal Machine Learning Engineer, vLLM and llama.cpp Inference
Principal Machine Learning Engineer, vLLM and llama.cpp InferenceRed Hat, Inc. • Boston, MA, United States
Principal Machine Learning Engineer, vLLM and llama.cpp Inference

Principal Machine Learning Engineer, vLLM and llama.cpp Inference

Red Hat, Inc. • Boston, MA, United States
3 days ago
Job type
  • Full-time
  • Permanent
Job description

##

  • Job Summary
  • 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 quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.You would be joining the core team behind on Github.As a Machine Learning Engineer focused on distributed vLLM infrastructure, you will collaborate with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with distributed systems and cloud infrastructure will directly impact enterprise AI deployments. If you want to solve challenging technical problems in distributed systems and cloud-native infrastructure the open-source way, this is the role for you.Join us in shaping the future of AI!## ##
  • What you will do
  • Build and maintain distributed inference infrastructure using Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments
  • Develop systems components in Go and / or Rust to integrate with the vLLM project and manage distributed inference workloads
  • Design and implement KV cache aware routing and scoring algorithms to optimize memory utilization and request distribution across large scale inference deployments
  • Improve the resource utilization, fault tolerance, and stability of the inference stack
  • Contribute to the design, development, and testing of various inference optimization algorithms
  • Participate in technical design discussions and provide innovative solutions to complex problems
  • Give thoughtful and prompt code reviews
  • Mentor and guide other engineers and foster a culture of continuous learning and innovation## ##
  • What you will bring
  • Strong proficiency in Python and one or more system programming languages (Golang, Rust, C++)
  • Strong understanding of computer architecture, parallel processing, and distributed computing concepts
  • Experience with the Kubernetes ecosystem, including custom APIs, operators, and the Gateway API inference extension for GenAI workloads (nice to have)
  • Experience with cloud native Kubernetes service mesh technologies / stacks like Istio, Cillium, Envoy (WASM filters) and CNI
  • Experience with tensor math libraries such as PyTorch
  • Working understanding of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA
  • Mathematical software, especially linear algebra or signal processing
  • Deep understanding and experience in GPU performance optimizations
  • Experience optimizing kernels for deep neural networks
  • Experience with profiling tools like NVIDIA Nsight or distributed tracing libraries / techniques like OpenTelemetry is a plus
  • Strong communications skills with both technical and non-technical team members
  • BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a plus#LI-MD2#AI-HIRINGThe salary range for this position is $189,600.00 - $312,730.00. 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
  • is the world’s leading provider of enterprise 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 application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are.Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

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Machine Learning Engineer • Boston, MA, United States

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