Senior C++/CUDA Engineer (HPC)

Location: Astana, Kazakhstan, with remote work available within Kazakhstan

Company

EPAM Kazakhstan delivers international engineering projects involving software development and advanced computing technologies.

What you will do

• Design, develop, and optimize high-performance applications using modern C++.
• Implement and tune GPU-accelerated algorithms and CUDA kernels.
• Analyze CPU/GPU performance, profile applications, and eliminate bottlenecks.
• Develop parallel and multithreaded solutions for large-scale scientific and engineering workloads.
• Contribute to HPC architecture, integrate GPU computing into existing systems, and process large datasets.
• Collaborate with international engineering teams through code reviews, technical discussions, and architectural decisions.

Requirements

• 3–6 years of professional experience in software engineering.
• Strong commercial experience with C++11/14/17 or later and hands-on CUDA development.
• Experience building or optimizing HPC applications and understanding GPU architecture and memory hierarchy.
• Experience with parallel programming, multithreading, Linux development, performance optimization, and profiling.
• Strong knowledge of algorithms, data structures, and computational efficiency.
• Upper-intermediate or higher English for communication in a global team.

Nice to have

• Experience with multi-GPU systems, OpenMP, MPI, or distributed computing.
• Knowledge of NVIDIA Nsight, nvprof, or other profiling tools.
• Scientific computing or research-oriented project experience.
• Python scripting, automation, Docker, Kubernetes, or cloud environments.
• Experience accelerating AI/ML workloads on GPUs.

Culture & Benefits

• Official employment with long-term career development opportunities.
• Work on an international HPC project with challenging technical tasks and real-world impact.
• Flexible work environment with onsite work in Astana or remote work within Kazakhstan.
• Collaboration with skilled engineers and architects in a distributed international team.
• Professional growth, continuous learning, and exposure to advanced GPU architectures.
• Opportunity to influence technical and architectural decisions for large-scale computing solutions.