11 of 11 Permanent CUDA Jobs in Scotland

with current LLM architectures (e.g. Llama3, DeepSeek V3) Familiarity with production LLM serving systems and inference optimizations (e.g. VLLM) Experience with accelerator programming (e.g. CUDA, Triton) and communication libraries (e.g. NCCL More ❯

with current LLM architectures (e.g. Llama3, DeepSeek V3) Familiarity with production LLM serving systems and inference optimizations (e.g. VLLM) Experience with accelerator programming (e.g. CUDA, Triton) and communication libraries (e.g. NCCL More ❯

with current LLM architectures (e.g. Llama3, DeepSeek V3) Familiarity with production LLM serving systems and inference optimizations (e.g. VLLM) Experience with accelerator programming (e.g. CUDA, Triton) and communication libraries (e.g. NCCL More ❯

with current LLM architectures (e.g. Llama3, DeepSeek V3) Familiarity with production LLM serving systems and inference optimizations (e.g. VLLM) Experience with accelerator programming (e.g. CUDA, Triton) and communication libraries (e.g. NCCL More ❯

with current LLM architectures (e.g. Llama3, DeepSeek V3) Familiarity with production LLM serving systems and inference optimizations (e.g. VLLM) Experience with accelerator programming (e.g. CUDA, Triton) and communication libraries (e.g. NCCL More ❯

Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the More ❯

Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the More ❯

Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the More ❯

systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing and resolve bottlenecks across training, fine-tuning, and inference workflows. Document and build tooling to ensure successful use … multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and experience improving model performance. Experience with More ❯

systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing and resolve bottlenecks across training, fine-tuning, and inference workflows. Document and build tooling to ensure successful use … multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and experience improving model performance. Experience with More ❯

systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing and resolve bottlenecks across training, fine-tuning, and inference workflows. Document and build tooling to ensure successful use … multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and experience improving model performance. Experience with More ❯