101 to 111 of 111 CUDA Jobs in England

sources of electricity demand, Fuse is expanding into high-performance compute infrastructure at the intersection of energy and AI. We're looking for a CUDA Engineer to write and optimise the low-level GPU code that powers our inference workloads: designing custom CUDA kernels, tuning performance across memory … squeezing maximum throughput out of every GPU in our fleet, working at the level of SMs, warps and memory hierarchies. ResponsibilitiesWrite and optimise custom CUDA kernels for core transformer inference operationsProfile kernels to identify and eliminate bottlenecks in occupancy, memory throughput and warp divergenceApply kernel fusion to reduce memory ...

demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch -- and we're looking for the founding engineer … Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered ...

electricity demand, Fuse is expanding into high-performance compute infrastructure at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch, and we're looking for the founding engineer to own the latter. … serving, deciding where and how to apply quantisation, distillation, speculative decoding and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineersMake the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server or equivalents)Translate ...

electricity demand, Fuse is expanding into high-performance compute infrastructure at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch, and we're looking for the founding engineer to own the latter. … serving, deciding where and how to apply quantisation, distillation, speculative decoding and similar techniques to improve throughput and cost per token, partnering with the CUDA/GPU engineers Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server or equivalents ...

Keysight Technologies is seeking a Senior Staff GPU Engineer to lead software development across the full product lifecycle, focusing on high-performance CUDA/C++ on Linux. You will mentor teams, shape technical direction, and deliver world-class solutions in PNT and related areas. The role demands deep hardware ...

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 ...

about efficient large-scale training, low-latency inference in real-time systems and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking and host- and GPU-level considerations. Zooming in, we also want … end. Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores and the memory hierarchy. Debugging and optimisation experience using tools like CUDA GDB, NSight Systems, NSight Compute-sight-systems and nsight-compute. Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN and cuBLAS. Intuition about the latency ...

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 ...