[Hiring] Senior HPC / CUDA Optimization Engineer @EPAM Systems

Role Description

We are seeking an experienced HPC / CUDA Optimization Engineer with strong expertise in modern C++, CUDA, GPU computing, and performance optimization for large-scale scientific and engineering applications.

• 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

Qualifications

• 5+ years of professional experience with C++ and Python development
• Deep knowledge of CUDA, GPU architecture, PTX, memory hierarchy, and kernel optimization
• Experience with GPU profiling, performance analysis, and bottleneck identification
• Hands-on experience with distributed and multi-GPU computing (MPI, NCCL, NVSHMEM)
• Experience developing and optimizing performance-critical, high-load software systems
• Strong debugging and software architecture skills

Requirements

• Knowledge of Oil & Gas domain is a huge bonus
• Experience with RTM/FWI, seismic imaging, or geoscience applications
• Development of HDF5-based data viewing and analysis tools
• Familiarity with scientific computing and numerical methods