Senior Principal Machine Learning Engineer, vLLM

Red Hat

. Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM , and related projects .

Posted 5/13/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $206,600 - $351,050 per yearWebsite

Tech Stack

Tools & technologies

NumpyOpen SourcePythonPyTorch

About the role

Key responsibilities & impact

Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM , and related projects
Create and manage inference serving deployment pipelines
Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches
Participate in technical design discussions and provide innovative solutions to complex problems
Stay up-to-date with the latest advancements in the open source LLM model architecture
Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance
Give thoughtful and prompt code reviews
Mentor and guide other engineers and foster a culture of continuous learning and innovation
Continuous collaboration with internal and external open source committers and contributors while contributing to vLLM and related projects

Requirements

What you’ll need

Strong understanding of machine learning and deep learning fundamentals
Experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning
Experience with tensor math libraries such as PyTorch and NumPy
Strong programming skills with proven experience implementing Python based machine learning solutions
Ability to develop and implement research ideas and algorithms
Experience with mathematical software, especially linear algebra
Understanding of Linear Algebra, Gradients, Probability, and Graph Theory
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 strong plus.

Benefits

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

inference optimization algorithmsLLM inference optimizationscomputer visionnatural language processingreinforcement learningtensor math librariesPyTorchNumPylinear algebramachine learning solutions

Soft Skills

code reviewsmentoringcollaborationcommunication

Certifications

BS in computer scienceMS in computer sciencePhD in ML related domain