Senior HPC / CUDA Engineer

Responsibilities

• Design, develop, and optimize CUDA kernels and GPU-accelerated applications for computationally intensive workloads
• Analyze and improve application performance across consumer and data-center NVIDIA GPU platforms
• Profile and investigate performance bottlenecks at the kernel, PTX, hardware, memory, and multi-GPU communication levels
• Optimize seismic imaging and Full Waveform Inversion (FWI) workloads to improve computational efficiency and scalability
• Develop and maintain distributed and multi-GPU computing solutions using technologies such as MPI, NCCL, and NVSHMEM
• Apply knowledge of GPU architecture, execution models, memory hierarchy, and modern CUDA capabilities to improve performance
• Develop and maintain high-quality scientific software components using C++ and Python
• Debug complex runtime issues and ensure the reliability and maintainability of performance-critical applications
• Contribute to the development and maintenance of scientific tools for seismic data preprocessing, post-processing, visualization, and analysis
• Work with scientific data formats and storage technologies, including HDF5

Languages