CUDA Software Engineer - Remote

YO AI Labs View all jobs
Sanford, NC, United States
14 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
$120,000.0 - $145,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence C++ (Programming Language) Profiling Nvidia CUDA Computer Programming OpenGL Shading Language Graphics Processing Unit (GPU) High Performance Computing 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., Description: The Automation Commissioning Engineer is responsible for leading the commissioning, startup, troubleshooting, and turnover of GMP automation systems supporting pharm…

  • 13 days ago

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.

Benefits & conditions

  • $120,000-145,000 per year

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Good distractions

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

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

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Exploring the Python-enabled GPU programming software stack

Paul Graham Paul Graham · World Congress 2026 Europe

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Previewing upcoming hardware acceleration capabilities for Python environments

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Profiling native execution calls with async-profiler

Gonzalo Ortiz Jaureguizar Gonzalo Ortiz Jaureguizar · World Congress 2026 Europe

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · World Congress 2026 Europe

1:34 min

Profiling and debugging GPU code with Nsight developer tools

Paul Graham Paul Graham · World Congress 2025

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