Senior HPC / CUDA Optimization Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. They have over thirty years of expertise in custom software, product, and platform engineering, enabling clients to become AI-Native enterprises.

• 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

Nice to have:

• Knowledge of Oil & Gas domain
• 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

• 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

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