Associate software engineer • chicago il
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 ... Show more
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The average salary range is between $ 76,750 and $ 150,000 year , with the average salary hovering around $ 101,933 year .
The average salary range is between $ 76,986 and $ 132,072 year , with the average salary hovering around $ 91,615 year .
Job Type: Contractor
Location: Remote
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.
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.
