5 of 5 CUDA Jobs in Slough

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 ...

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 ...

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. ...

independently. Core Responsibilities You will own the technical backbone of Steadrock's internal systems: Compute Infrastructure (DGX) Manage our NVIDIA DGX server (Linux environment, CUDA, system health) Build, test, and maintain internal APIs (FastAPI/Flask) Design stable ngrok/reverse-proxy/network connections for remote access Optimise … documents to structured outputs Assist with financial modelling scripts What You Need Technical Strong Python Experience with Linux (Ubuntu), bash, SSH Understanding of GPUs, CUDA basics, or willingness to learn fast Experience with FastAPI, Flask or similar Basic networking knowledge (ports, tunnels, proxies) SQL or NoSQL experience Git disciplinePreferred ...

/Machine Learning/C++/Python/CUDA Machine Learning Engineer – AI & Foundation Models (Future CTO Track) West London | 3–4 days onsite Up to £150k + equity Company: AI StartUp We're hiring one of the first technical engineers for a pioneering AI startup building a foundation … with the founders and evolving toward Head of Engineering/CTO. You'll work on: High-performance ML systems (training + inference) C++/CUDA optimisation and GPU-accelerated components Large models (e.g. transformers), latency & throughput optimisation Distributed systems and cloud deployment Internal tooling, benchmarks, and evaluation frameworks Ideal ...