Machine Learning Engineer,

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 and llm-d 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.

As a Machine Learning Engineer focused on , you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your work with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. You would be joining the core team behind 2025's most popular open source project on GitHub.

Join us in shaping the future of AI

What You Will Do

• Design and implement new features and optimizations for the core, including model architecture support, quantization techniques, and inference algorithms.
• Optimize the codebase for various hardware backends, including CPU instruction sets, Apple Silicon (Metal), and other GPU technologies (CUDA, Vulkan, SYCL).
• Conduct performance analysis and benchmarking to identify bottlenecks and propose solutions for improving latency and throughput.
• Contribute to the design and evolution of core project components, such as the GGUF file format and the GGML tensor library.
• Collaborate with the open-source community by reviewing pull requests, participating in technical discussions on GitHub, and providing guidance on best practices.

What You Will Bring

• Extensive experience in writing high performance modern C++ code.
• Strong experience with hardware acceleration libraries and backends: CUDA, Metal, Vulkan, or SYCL.
• Strong fundamentals in machine learning and deep learning, with a deep understanding of transformer architectures and LLM inference.
• Experience with performance profiling, benchmarking, and optimization techniques.
• Proficient in Python.
• Prior experience contributing to a major open-source project.

The salary range for this position is $133, $281, 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
Red Hat is the world's 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. 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