126 to 133 of 133 CUDA Jobs in England

optimising how power‐dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time. We're looking for a CUDA Engineer to write and optimise the low‐level GPU code that powers our inference workloads. You'll design custom CUDA kernels, tune performance across memory … operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure. Responsibilities Write and optimise custom CUDA kernels for core transformer ...

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 … maximum throughput out of every GPU in our fleet, working at the level of SMs, warps and memory hierarchies. Responsibilities Write and optimise custom CUDA kernels for core transformer inference operations Profile kernels to identify and eliminate bottlenecks in occupancy, memory throughput and warp divergence Apply kernel fusion ...

Design, build, and optimize distributed training systems (PyTorch) for multi-node GPU clusters, ensuring scalability, robustness, and high utilization Implement efficient low-level code (CUDA, cuDNN, Triton, custom kernels) and integrate it seamlessly into high-level training frameworks Optimize workloads for hardware efficiency: CPU/GPU compute balance, memory … Bring Deep experience in distributed systems, ML infrastructure, or high-performance computing (8+ years) Production-grade expertise in Python Low-level performance mastery: CUDA/cuDNN/Triton, CPU-GPU interactions, data movement, and kernel optimization Scaling at the frontier: experience with PyTorch and training jobs using data, context ...

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 engineers Make the core software architecture calls on serving frameworks and orchestration (e.g. vLLM, TensorRT-LLM, SGLang, Triton Inference Server or equivalents ...

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 ...

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 ...