1 of 1 Memory Management Jobs in the North of England

modules that push the limits of performance and scalability. What You'll Do Design and implement GPU kernels in CUDA C, focusing on: Kernel fusion On-device operations GPU memory optimization Build and use profiling tools (eg, Nsight) to measure and improve GPU utilization, inference latency, and training throughput. Optimize custom models for deployment with TensorRT or similar inference … Hands-on with CUDA profiling, debugging, and Kernel optimization. Deep understanding of multi-threaded/multi-process architectures and Linux systems development. Proficiency in low-level I/O, memory management, and performance tuning Nice to Have Experience with distributed training/inference pipelines. Familiarity with Docker and Kubernetes. Exposure to Embedded systems or hardware-level software integration. More ❯