Senior HPC / CUDA Optimization Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on high‑performance scientific and engineering GPU computing. Required stack includes CUDA, C++ and Python, plus distributed communication: MPI, NCCL, NVSHMEM. Core responsibilities cover designing and optimizing CUDA kernels, performance analysis and bottleneck resolution using profiling tools, implementing multi‑GPU and distributed solutions, developing high‑performance C++/Python code, and debugging memory and performance issues. Experience in seismic/RTM/FWI and the Oil & Gas domain is a strong plus.

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Senior HPC / CUDA Optimization Engineer

Company: EPAM Systems (Poland) sp. z o.o.

from: 8 October 2026
to: 7 November 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:remote
Kraków, Grzegórzki
Kraków, GrzegórzkiFabryczna 1AView on map

Requirements

Expected technologies

C++
Python

Our 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

Optional

  • 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

Your 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

About the project

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.

This is how we work on a project

  • Continuous Deployment
  • Continuous Integration

What we offer

We gather like-minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup-like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business-driven relocation opportunities
  • We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well-being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
  • We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well-being events
  • Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively
  • Development opportunities we offer

    • conferences in Poland
    • development budget
    • external training
    • industry-specific e-learning platforms
    • intracompany training
    • mentoring
    • soft skills training
    • space for experimenting
    • substantive support from technological leaders
    • support of IT events
    • technical knowledge exchange within the company

    Benefits

    • private medical care
    • life insurance
    • flexible working time
    • fruits
    • integration events
    • retirement pension plan
    • no dress code
    • video games at work
    • coffee / tea
    • parking space for employees
    • leisure zone
    • employee referral program
    • charity initiatives

    Recruitment stages

    • 1.
      Recruiter Interview (30 min)
    • 2.
      Technical Interview (90 min)
    • 3.
      Manager Interview (60 min)
    • 4.
      Meeting with the Project Team or Client (60 min, optional)
    • 5.
      Welcome Aboard!

    EPAM Systems (Poland) sp. z o.o.

    EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
    Senior HPC / CUDA Optimization Engineer
    I apply to:
    EPAM Systems (Poland) sp. z o.o.
    Kraków, Grzegórzki
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