GPU Systems Engineer

GPU Systems Engineer is a full-time remote position requiring expertise in CUDA programming and GPU architecture to design and optimize compute-intensive workloads for AI and high-performance computing applications. Key ResponsibilitiesDesign and implement high-performance CUDA kernels for AI and HPC workloads Profile and optimize GPU code using various profiling tools Collaborate with cross-functional teams to identify and resolve performance bottlenecksRequired QualificationsBachelor's or Master's degree in Computer Science, Computer Engineering, or related field Six or more years of experience in GPU programming and performance engineering Deep expertise in CUDA C/C++ and GPU programming models Strong understanding of modern GPU architectures and memory hierarchies Hands-on experience profiling and optimizing GPU workloads in production