Senior Machine Learning Engineer (vLLM)

*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat LLC office in Boston MA.

Lead the design and implementation of high-performance Python C CUDA and Triton code for vLLM-based inference systems GPU kernels and numerical computing components in production-scale LLM serving environments.

What You Will Do:

• Architect develop and optimize advanced LLM inference algorithms including quantization sparsification speculative decoding paged attention KV cache optimization batching scheduling and memory management to significantly improve latency throughput scalability and cost efficiency.
• Drive deep performance profiling benchmarking and modeling on NVIDIA GPUs using tools such as Nsight Systems Nsight Compute CUPTI PyTorch Profiler CUDA Triton and CUTLASS to identify bottlenecks and deliver measurable system-level improvements.
• Own the end-to-end optimization of vLLM-based inference pipelines including kernel-level tuning runtime optimization distributed inference multi-GPU serving tensor/pipeline parallelism and large-scale deployment performance.
• Evaluate prototype and integrate state-of-the-art LLM serving techniques from cutting-edge research and open-source communities including quantization sparsity speculative decoding continuous batching prefix caching attention optimization and model compression.
• Set engineering standards for performance-critical code conduct rigorous peer reviews guide testing and benchmarking strategies and leverage AI-assisted development tools to maintain high code quality reliability and maintainability.
• Contribute to and maintain upstream open-source ML infrastructure vLLM including reviewing pull requests triaging issues participating in design discussions and supporting release readiness.
• Stay at the forefront of LLM systems research and GPU computing advancements proactively identifying opportunities to improve the product through emerging techniques in serving efficiency hardware utilization and model acceleration.

What You Will Bring:

• Masters degree (U.S. or foreign equivalent) in Computer Science Computer Engineering or related field and three (3) years of experience in the job offered or related role OR Bachelors degree (U.S. or foreign equivalent) in Computer Science Computer Engineering or related field and five (5) years of experience in the job offered or related role.
• Must have three (3) years of experience with: high-performance Python and Modern C development; performance analysis benchmarking and profiling on NVIDIA GPUs using Nsight or similar tools; and GPU memory architecture and memory optimization for deep learning workloads.
• Must have two (2) years of experience with: making open-source pull requests to PyTorch or vLLM; CUDA Triton or CUTLASS kernel optimization; LLM inference optimization including quantization KV cache or batching; distributed computing including inter and intra GPU communication protocols; and leading technical design reviewing performance-critical code.

#LI-DNI

The salary range for this position is $186160 - $287410/year. 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 Hats 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 worlds 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. Were 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.

Inclusion at Red Hat
Red Hats 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.