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Senior HPC / CUDA Optimization Engineer

EPAM Systems

Role overview

Summary

This role focuses on optimizing CUDA kernels and improving GPU performance for large-scale scientific and engineering applications. You will work within a team that develops high-performance software solutions, addressing complex performance and memory issues across various GPU architectures.

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).
  • Strong debugging and software architecture skills.

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.
  • Collaborate with cross-functional teams to architect scalable and efficient software solutions.

Key facts

Hard skills

Other skills

  • Collaboration

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.
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Job 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. 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 Requirements 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 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

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