76 to 80 of 80 CUDA Jobs in London

write the kernels and operations that get the most out of the hardware. This is deep performance work: fused kernels, tensor cores, Triton and CUDA, distributed multi-node deployment. It fits someone with expert GPU-optimization skills and a deep understanding of transformer internals. … home in CUDA, Triton, and profilers, this is the wrong depth. What You'll Own Profile and optimize GPU/CPU/accelerator code for maximum utilization and minimal latency. Write high-performance PyTorch, Triton, and CUDA, dropping to custom operations when needed. Develop fused kernels and leverage ...

Design and optimize distributed inference systems on GPU clusters, pushing throughput with large-batch serving and efficient resource utilization Implement efficient low-level code (CUDA, Triton, custom kernels) and integrate it seamlessly into high-level frameworks Optimize workloads for both throughput (batching, scheduling, quantization) and latency (caching, memory management … performance serving (8+ years) Production-grade expertise in Python, with strong background in systems languages (C++/Rust/Go) Low-level performance mastery: CUDA, Triton, kernel optimization, quantization, memory and compute scheduling Proven track record scaling inference workloads in both throughput-oriented cluster environments and latency-critical ...

Quant Blueprint LLC is seeking an engineer proficient in low-level systems programming and optimization to enhance our machine learning team. This role centers on optimizing model performance, both for training and real-time inference. ...

Fuse Energy is seeking a CUDA Engineer to design and optimize low-level GPU kernels powering our transformer inference workloads. You will write custom CUDA kernels, tune memory bandwidth, and push the throughput of our GPU fleet at the SM, warp, and memory hierarchy level. Collaborate with ...

Fuse Energy is seeking an experienced CUDA Engineer to design and optimise low‐level GPU code for high‐throughput inference workloads. You will work on custom CUDA kernels, memory hierarchies, and mixed‐precision arithmetic to maximise throughput and minimise latency across GPU fleets. The role focuses on profiling ...