5 of 5 CUDA Jobs in the City of London

Senior Full Stack Engineer (Golang/Typescript/Kubernetes)

Hiring Organisation
Safe Intelligence
Location
City of London, London, United Kingdom
science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud ...

Software Engineer - Systems

Hiring Organisation
Spiral
Location
City of London, London, United Kingdom
engineering Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus Experience with Rust is a bonus Willingness to work in-person at our NYC or London office If interested, please ...

Staff Software Engineer

Hiring Organisation
Motive Group
Location
City of London, London, United Kingdom
similar). Experience deploying and operating large-scale GPU clusters or HPC systems. Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes. A low-ego, collaborative approach and a clear, proactive communication style. In short: This is a role for engineers who like ...

Principal Engineer

Hiring Organisation
Motive Group
Location
City of London, London, United Kingdom
Alertmanager. Experience deploying and operating large-scale GPU clusters or HPC systems (Ideally). Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes. A low-ego, collaborative approach and a clear, proactive communication style. ...

GPU SW (OpenCL/Cuda) Engineer

Hiring Organisation
microTECH Global LTD
Location
City of London, London, United Kingdom
proficiency in C/C++. 3.Working experience in GPU or GPGPU UMD driver development. 4.Proficiency and working experience with GPGPU APIs such as CUDA/HIP/OpenCL. Preferred Qualifications: 5.Familiarity with CUDA or ROCm development and debugging. 6.Good understanding of GPU hardware/software architecture, including familiarity ...