5 of 5 Remote Vulkan Jobs in London

related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for More ❯

related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for More ❯

from home. Key Skills & Qualifications: Degree in Electronics Engineering, Computer Science, or a related field. Proven experience in video processing or similarly performance-critical applications. Hands-on experience with Vulkan or other modern GPU APIs. Strong background in C/C++ development, both in building new systems and enhancing existing ones. Genuine enthusiasm for new ideas, a willingness to trust More ❯

from home. Key Skills & Qualifications: Degree in Electronics Engineering, Computer Science, or a related field. Proven experience in video processing or similarly performance-critical applications. Hands-on experience with Vulkan or other modern GPU APIs. Strong background in C/C++ development, both in building new systems and enhancing existing ones. Genuine enthusiasm for new ideas, a willingness to trust More ❯

GPU and ML workloads at scale. Provision and optimise GPU cloud infrastructure (AWS, GCP, Azure) using Terraform/Ansible. Collaborate with GPU engineers and researchers to integrate CUDA, SYCL, Vulkan, and ML kernels into production workflows. Support secure packaging, deployment, and distribution of GPU-accelerated software to partners and clients. Evolve infrastructure to support hybrid AI/codec workflows, including … etc.). Proficiency in containerisation and orchestration (Docker, Kubernetes). Experience with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. Strong scripting and programming skills (Python, Bash, C/C++ exposure a plus). Knowledge of monitoring, logging, and performance testing for GPU/ML More ❯