GPU Software Engineer (CUDA)

Job Description

Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases. Collaborate with cross-functional partners to translate ambiguous requirements into well-engineered solutions.

Requirements: Candidates must have a Bachelor’s or Master’s degree in Computer Science or a related field and six or more years of experience in GPU programming and performance engineering. Deep expertise in CUDA C/C++ and strong understanding of modern GPU architectures are essential.

Key Skills: CUDA, GPU Programming, High-Performance Computing, C++, Machine Learning, Performance Optimization, Linear Algebra, Numerical Methods, NCCL, MPI, Profiling, Custom Kernels, TensorRT, Compiler Infrastructure, Distributed Training, Memory Optimization