GPU Systems Engineer

Seeking a full-time GPU Systems Engineer (CUDA) to work remotely, who will design and optimize high-performance CUDA kernels for compute-intensive workloads, profile and enhance GPU code, and collaborate with cross-functional teams to drive performance improvements in AI and HPC applications. Key Responsibilities Design and implement high-performance CUDA kernels for various compute-intensive workloads Profile and optimize GPU code using tools like Nsight Systems and CUDA profilers Collaborate with ML engineers to identify and resolve performance bottlenecks in training and inference pipelines Required Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Six or more years of experience in GPU programming and performance engineering Deep expertise in CUDA C/C++ and modern GPU architectures Hands-on experience profiling and optimizing GPU workloads in production environments Strong C++ skills and familiarity with modern systems programming practices