Remote Gpu Software Engineer — High-Performance Cuda/C++

05 ott - Firenze
Hire Feed

Hire Feed seeks a GPU Software Engineer to work remotely on high-performance computing projects, leveraging GPU architectures for scalable workloads.
You will design, implement, and optimize CUDA/OpenCL kernels and libraries while ensuring correctness and performance.
Strong C/C++ programming skills and experience with parallel algorithms are essential as you collaborate with cross-functional teams to integrate GPU acceleration into diverse workflows across the organization.
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