Remote Vulkan Jobs in the South East

7 of 7 Remote Vulkan Jobs in the South East

Software Engineer, Structural Geology

Guildford, Surrey, United Kingdom
Hybrid / WFH Options
ECM Selection (Holdings) Limited
o Geomechanical and geological modelling including deformation modelling. o 2D and 3D kinematic modelling techniques. o Fracture modelling. Additional experience with: GUI development (Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/ More ❯
Employment Type: Permanent
Salary: £50000 - £80000/annum DoE + Benefits
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Senior Graphics Engineer

Staines-upon-Thames, Middlesex, England, United Kingdom
Hybrid / WFH Options
MicroTECH Global Ltd
in Computer Science, Electronics, Natural Science, Mathematics, Engineering, or a related discipline (or equivalent industrial experience). Expertise in computer graphics, including design and implementation of OpenGL, OpenGL ES, Vulkan, or DirectX APIs. A proven track record in real-time embedded software development, preferably for mobile devices, with a strong understanding of modern development environments. Understanding of computer graphics pipelines More ❯
Employment Type: Contractor
Rate: Salary negotiable
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GPU Software Engineer

london, south east england, united kingdom
Hybrid / WFH Options
microTECH Global LTD
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 ❯
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GPU Software Engineer

slough, south east england, united kingdom
Hybrid / WFH Options
microTECH Global LTD
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 ❯
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GPU Software Engineer

london (city of london), south east england, united kingdom
Hybrid / WFH Options
microTECH Global LTD
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 ❯
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DevOps Engineer

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 ❯
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DevOps Engineer

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 ❯
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