Luma is building large-scale inference systems and needs a systems engineer to own model serving within the inference engine. You will scale deployments across thousands of machines, optimize GPU utilization, and ensure reliability across clusters and hardware providers.
Ideal candidates have strong Python and system-architecture skills, experience with Linux, Docker, Kubernetes, and model deployment frameworks such as PyTorch, Hugging Face, vLLM, or TensorRT-LLM. Equal opportunity employer.
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We invite applications for the Inference Systems Engineer: Scale GPU Fleets & Kubernetes position located in Greater London, England, United Kingdom.
We are currently recruiting a Inference Systems Engineer: Scale GPU Fleets & Kubernetes for our team in Greater London, England, United Kingdom.
This is a genuine opportunity to take on the Inference Systems Engineer: Scale GPU Fleets & Kubernetes role at Luma.