07 Nov
|
Baseten
|
Montreal
CUDA C++ engineers can design GPU kernels at Baseten, optimizing matrix multiplication and attention for production machine learning inference. As a GPU Kernel Engineer, you will support Baseten’s Model Performance team and its inference stack. You will write CUDA and PTX code, apply GPU architecture knowledge, and optimize up-to-date AI workloads.
Design high-performance kernels for matrix multiplications Apply memory coalescing and warp-level programming Understand GPU architecture and programming paradigms Mitigate race conditions using synchronization techniques Demonstrate C++ proficiency and profiling-tool experience Understand CUDA C++ APIs and bandwidth optimization Build Baseten’s inference performance through CUDA C++, GPU architecture, kernel optimization, and production-focused machine learning systems. #
📌 Gpu Kernel Engineer Cuda C++ (Montreal)
🏢 Baseten
📍 Montreal