CUDA Developer - Remote

YO AI Labs View all jobs
Houston, TX, United States
14 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence C Sharp (Programming Language) C++ (Programming Language) Profiling Nvidia CUDA Computer Programming Databases OpenGL Shading Language Python (Programming Language) SQL Databases Graphics Processing Unit (GPU) High Performance Computing
+2 more
Gpu Programming Code Restructuring

Job 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., Full Stack Developer - C#, Python Job description Skills Mandatory Skills : C#, Python Required seniority: Senior Software Engineer or Staff level Software Engineer around…

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Requirements

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · World Congress 2026 Europe

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Previewing upcoming hardware acceleration capabilities for Python environments

Chris Heilmann +2 · LIVE

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Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

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Profiling native execution calls with async-profiler

Gonzalo Ortiz Jaureguizar Gonzalo Ortiz Jaureguizar · World Congress 2026 Europe

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

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Transitioning from CUDA software architect to user

Stephen Jones · Coffee With Developers

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