Jobs
Director of GPULocation United States - Arizona Workplace On-site, Hybrid, Remote Type Permanent
We are an ambitious startup building next-generation GPU solutions for AI, high-performance computing, and immersive graphics. Our mission is to push the limits of parallel processing and redefine the future of accelerated computing. Role Summary: As Director of GPU Architecture, you will..
Build and Release EngineerLocation Netherlands - NE Workplace On-site, Hybrid Type Permanent
Job Title: Build and Release Engineer Locations Available: Vught, Netherlands, Aix-en-Provence, France, Sofia, Bulgaria Position: Permanent, Hybrid available About the role: The client are a semiconductor and IP company that specialise in PCIe. Solid experience in Digital Desi..
DevOps EngineerLocation UK - London Workplace Hybrid Type Permanent
Job Title: DevOps Engineer Job Sector: Semiconductor Job Type: Permanent Location: Hemel-Hempstead, UK As DevOps Engineer, you’ll be responsible for designing, deploying, and maintaining scalable development flows for hardware and software teams. You will also lead the setup of cl..
GPU Software Engineer (Vulkan)Location UK - London Workplace Hybrid Type Contract
Role Overview We are seeking a skilled and experienced software engineer to develop and optimise Vulkan drivers and related software components for our GPU platform. This role focuses on ensuring compliance with the Vulkan standard and delivering high performance across a range of workloads. ..
Senior GPU Software EngineerLocation UK - London, UK Workplace Hybrid Type Permanent
As a GPU Software Engineer, you’ll be translating innovative research into high-performance, high-quality GPU compute solutions—playing a key role in delivering next-generation media technology to the market. Hybrid working, 3 days onsite and 2 days working from home. Key Skills & ..
Machine Learning EngineerLocation UK - Cambridgeshire Workplace Hybrid Type Permanent
Overview Work within our clients machine learning team to deploy and optimize models for applications like low-latency speech recognition and large language models (LLMs). Initial focus will be on improving our clients speech recognition model’s training pipeline on multi-GPU systems to boost p..
