london (city of london), south east england, united kingdom
microTECH Global LTD
showcase our technology to customers becoming instrumental in the growth of the company. Experience of working in video processing or equivalent performance sensitive or high-performance applications Experience developing Vulkan software, or other modern GPU APIs Significant experience in developing C/C++ code from the ground up and enhancing established code bases Willingness to learn new subjects independently and More ❯
Mobile Apps Developer (Native iOS & Android) Guildford, Surrey (Office-Based)£70000 - £120000 + 25% Bonus, 10% Pension, Private Medical. Must haves:- Must work 5 days per week in the office in Guildford.- Must have Native App examples, both iOS and More ❯
london, south east england, united kingdom Hybrid / WFH Options
microTECH Global LTD
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 ❯
slough, south east england, united kingdom Hybrid / WFH Options
microTECH Global LTD
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 ❯
