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 AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers and maintainers of the vLLM project and inventors of state‑of‑the‑art techniques for model quantization and sparsification our team provides a secure platform for enterprises to build, optimise and scale LLM deployments.

What you will do

• Contribute to the design, development and testing of various inference optimisation algorithms in the LLM‑compressor, Speculators and vLLM projects.
• Design, implement and optimise model compression pipelines using techniques such as quantisation and pruning.
• Develop and maintain speculative decoding frameworks to improve inference speed while maintaining model accuracy.
• Collaborate closely with research sc...