Red Hat · 1 day ago
Senior Principal Machine Learning Engineer, Distributed vLLM Inference with Kubernetes
Boston, MA
Full-time
Hybrid
Senior Level, Lead/Staff
$207K/yr - $351K/yrRed Hat is on a mission to bring the power of open-source LLMs and vLLM to every enterprise. As a Machine Learning Engineer focused on distributed vLLM infrastructure, you will collaborate with the team to tackle challenges in scalable inference systems and Kubernetes-native deployments.
Enterprise SoftwareInsurTechLinuxOpen SourceOperating SystemsSoftware
Responsibilities
Develop and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments
Create system 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 in large-scale inference deployments
Enhance the resource utilization, fault tolerance, and stability of the inference stack
Contribute to the design, development, and testing of various inference optimization algorithms
Actively participate in technical design discussions and propose innovative solutions to complex challenges
Provide timely and constructive code reviews
Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation
Qualification
Required
Strong proficiency in Python and at least one systems programming language (GoLang, Rust, or C++), with GoLang being highly preferred
Experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads (a plus)
Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI
A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies
Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus
Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry is a plus
Excellent communication skills, capable of interacting effectively with both technical and non-technical team members
A Bachelor's or Master's degree in computer science, computer engineering, or a related field. A Ph.D. in an ML-related domain is a significant advantage
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!
Company
Red Hat
Red Hat is a software company that offers enterprise open-source software solutions. It is a sub-organization of IBM.
Founded in 1993
10001+ employees
H1B Sponsorship
Red Hat has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (159)
2024 (148)
2023 (156)
2022 (181)
2021 (154)
2020 (106)
Funding
Current Stage
Public CompanyTotal Funding
unknown2018-10-28Acquired
1999-08-20IPO
1999-03-09Corporate Round
Leadership Team
Chris Wright
Chief Technology Officer and Senior Vice President Global Engineering
Mark Little
CTO JBoss
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