Senior C++/CUDA Engineer (HPC)

We are looking for an experienced Senior C++/CUDA Engineer to join a team focused on building and optimizing High-Performance Computing (HPC) solutions.

The project involves processing large volumes of scientific data, accelerating computationally intensive algorithms using GPU technologies, and developing scalable systems for complex engineering and research workloads. You will work on performance-critical applications, optimize GPU execution, and contribute to the architecture of next-generation HPC platforms.

Responsibilities

• Design, develop, and optimize high-performance applications using modern C++.
• Implement and optimize GPU-accelerated algorithms using CUDA.
• Develop and tune CUDA kernels for maximum performance and scalability.
• Analyze, profile, and eliminate CPU/GPU performance bottlenecks.
• Work with parallel and multithreaded programming techniques.
• Contribute to the architecture and design of HPC solutions.
• Integrate GPU computing capabilities into existing software systems.
• Process and analyze large datasets efficiently.
• Collaborate with international engineering teams on complex technical challenges.
• Participate in code reviews, technical discussions, and architectural decisions.

Requirements

• Strong commercial experience with C++ (C++11/14/17 or later).
• Hands-on experience with CUDA development.
• Experience building or optimizing High-Performance Computing (HPC) applications.
• Solid understanding of GPU architecture and memory hierarchy.
• Experience with parallel programming and multithreading.
• Strong Linux development experience.
• Proven track record of performance optimization and profiling.
• Good understanding of algorithms, data structures, and computational efficiency.
• Upper - Intermediate or higher English level for communication in a global team.

Nice to Have

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

What We Offer

• Location: Kazakhstan / Remote work within the country
• Official employment with long-term career development opportunities within the company
• Opportunity to work on cutting-edge HPC and GPU technologies
• Challenging technical tasks with real-world impact
• Long-term international project
• Collaboration with highly skilled engineers and architects
• Competitive compensation package
• Flexible work environment
• Professional growth and continuous learning opportunities
• Participation in the design and optimization of large-scale, high-performance computing solutions
• Exposure to advanced GPU architectures and performance-critical systems
• Opportunity to influence technical and architectural decisions within the project
• Work in a distributed international team using modern engineering practices and technologies