Senior CUDA HPC Engineer — Seismic Imaging & FWI

EPAM Systems; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

EPAM Systems in the United States is seeking a Senior HPC / CUDA Engineer to optimize seismic imaging and Full Waveform Inversion workloads on modern GPU platforms. You will design CUDA kernels, implement high-performance C++/Python components, and collaborate with experts across HPC, geophysics, and software engineering.

The role emphasizes performance profiling, multi-GPU scalability, MPI/NCCL/NVSHMEM, and robust, portable scientific software.

Qualifications

• Strong HPC and GPU software development experience.
• Advanced CUDA programming and kernel optimization skills.
• Experience with distributed multi-GPU computing and parallel programming.

Responsibilities

• Design, develop, and optimize CUDA kernels and GPU-accelerated applications for HPC workloads.
• Analyze and improve application performance across NVIDIA GPU platforms.
• Profile and identify bottlenecks at kernel, PTX, memory, and multi-GPU levels.
• Optimize seismic imaging and FWI workloads for efficiency and scalability.
• Develop distributed GPU solutions using MPI, NCCL, and NVSHMEM.
• Apply knowledge of GPU architecture and memory hierarchy to improve performance.
• Develop and maintain high-quality C++ and Python components.
• Debug runtime issues to ensure reliability of performance-critical code.
• Contribute to seismic data preprocessing, post-processing, visualization, and analysis tools.
• Work with data formats like HDF5 and collaborate with domain experts.

Skills

HPC

CUDA

C++

Python

GPU performance

Multi-GPU

MPI/NCCL/NVSHMEM

Seismic computing

Performance analysis

Tools

MPI

NCCL

NVSHMEM

HDF5

Job description

EPAM Systems in the United States is seeking a Senior HPC / CUDA Engineer to optimize seismic imaging and Full Waveform Inversion workloads on modern GPU platforms. You will design CUDA kernels, implement high-performance C++/Python components, and collaborate with experts across HPC, geophysics, and software engineering.

The role emphasizes performance profiling, multi-GPU scalability, MPI/NCCL/NVSHMEM, and robust, portable scientific software.