> Markdown version of [/jobs/ext/3772505-cuda-software-engineer](https://www.wearedevelopers.com/jobs/ext/3772505-cuda-software-engineer). 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 - **Company:** Yo Labs Inc. - **Location:** Dallas, TX, United States (Remote available) - **Salary:** $124,800.0 - $208,000.0 - **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, HLSL, Code Restructuring - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/16_520c2996 ## 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. Key Responsibilities * 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.