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Inference runtime engineer working at the core of vLLM, optimizing LLM and diffusion model serving across diverse hardware and model architectures (MoE, multimodal, agentic). Day-to-day is systems/ML engineering in Python and PyTorch to make AI inference cheaper and faster.
The Member of Technical Staff will build and maintain the cloud orchestration infrastructure for vLLM, focusing on cluster management, deployment automation, and observability for large-scale AI inference. The role requires expertise in Kubernetes, infrastructure-as-code, and GPU cluster management.
Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the…
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a16z 
Sequoia 
Lightspeed