CUDA Software Engineer - Remote
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026. YO AI Labs scores A on the Alion truth index.
CUDA Engineering Expert
Job Type: Contractor
Location: Remote
Job Overview
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.
Required Qualifications
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.