> Markdown version of [/jobs/ext/2188596-cuda-software-engineer-remote](https://www.wearedevelopers.com/jobs/ext/2188596-cuda-software-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CUDA Software Engineer - Remote - **Company:** YO AI Labs View all jobs - **Location:** Phoenix, AZ, United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, OpenGL Shading Language, Graphics Processing Unit (GPU), High Performance Computing, Gpu Programming, Code Restructuring - **Published:** August 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us3f65e3dfcbeacd34d4688fb167649bc4 ## About the Role Strong expertise in CUDA programming and GPU kernel optimization. Advanced C++ development skills. Hands-on experience with GLSL and WebGPU. Experience using GPU profiling tools such as NVIDIA Nsight or similar. Strong understanding of GPU performance and architecture. Excellent analytical, problem-solving, and technical communication skills. Ability to work effectively in a remote environment. Preferred Qualifications Experience with high-performance computing or GPU-accelerated applications. Experience optimizing workloads across different GPU architectures. Background in graphics, compute shaders, or AI/ML acceleration. ## Description We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required., Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. Identify performance bottlenecks and develop targeted optimization strategies. Refactor C++ and CUDA code for efficiency and maintainability. Develop shader logic using GLSL and WebGPU. Document optimization processes, findings, and performance improvements. Contribute to GPU architecture and performance discussions. Collaborate with remote, cross-functional teams. ## Related Videos - [CUDA Python: GPU programming for the modern developer](https://www.wearedevelopers.com/videos/100221-cuda-python-gpu-programming-for-the-modern-developer) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/1521-accelerating-python-on-gpus) - [The weekly developer show: Boosting Python with CUDA, CSS Updates & Navigating New Tech Stacks](https://www.wearedevelopers.com/videos/1293-the-weekly-developer-show-boosting-python-with-cuda-css-updates-navigating-new-tech-stacks) ## Related Articles - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)