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# CUDA Engineering Expert - Remote

- **Company:** Yo Labs Inc.
- **Location:** Washington, DC, United States (Remote available)
- **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 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/cuda-engineering-expert-remote-dc--9d50f3ba-6a66-4dbd-ad74-025777ad67d3

## 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., * 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

CUDA Engineering ExpertJob Type: ContractorLocation: RemoteJob OverviewWe 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 ResponsibilitiesAnalyze, 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.Required QualificationsStrong 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 QualificationsExperience with high-performance computing or GPU-accelerated applications.Experience optimizing workloads across different GPU architectures.Background in graphics, compute shaders, or AI/ML acceleration.