Senior Math Libraries Engineer, CPU and GPU Optimization

NVIDIA is looking for an expert software engineer to help deliver CUDA-X libraries across the NVIDIA CPU and GPU ecosystem. You will be part of a team designing, developing, and optimizing math libraries for the future.

Requirements

• PhD or MSc degree in Computer Science, Applied Math, or a related science or engineering field (or equivalent experience)
• 12+ years of experience designing and developing software for high-performance computing and/or AI applications
• Advanced C++ skills, including modern design paradigms (e.g., template meta-programming, RAII)
• Parallel programming experience with CUDA, OpenCL or vector programming on CPU (AVX, NEON or similar)
• Strong collaboration, communication, and documentation habits
• Experience with ARM, RISC-V and/or x86_64 CPU architectures

Benefits

• Competitive salaries
• Generous benefits package