Senior HPC / CUDA Optimization Engineer

Responsibilities

• Design, develop, and optimize CUDA kernels for large-scale scientific and engineering applications
• Analyze and improve GPU performance using profiling tools to identify and resolve bottlenecks
• Implement and optimize distributed and multi-GPU computing solutions using MPI, NCCL, and NVSHMEM
• Develop and maintain high-performance C++ and Python code for performance-critical, high-load systems
• Collaborate with cross-functional teams to architect scalable and efficient software solutions
• Debug complex performance and memory issues across GPU architectures and distributed systems
• Research and apply best practices in HPC, numerical methods, and GPU computing to improve existing codebases

Languages