Machine Learning Engineer, Distributed vLLM
Red Hat · Boston, MA
About this role
Red Hat is hiring a mid-level Machine Learning Engineer based in Boston, MA. The posting calls out experience with gRPC, Kubernetes, LLMs, Linux. Compensation is listed at $136,320–$225,090 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Boston, MA
- Posted
- May 14, 2026
More roles at Red Hat
Job description
from Red Hat careersJob 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. The Red Hat AI Inference Engineering team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, 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 Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with machine learning, distributed systems, high performance computing, and cloud infrastructure will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you want to solve cutting edge problems at the intersection of deep learning, 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
Contribute to the design, development, and testing of new features and solutions for Red Hat AI Inference
This is an excerpt. Read the full job description on Red Hat careers →