Back to Search
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
We are seeking an experienced Lead HPC / CUDA Optimization Engineer with strong expertise in modern C++, CUDA, GPU computing, and performance optimization for large-scale scientific and engineering applications. In this role, you will remain highly hands-on while also providing technical leadership, mentoring engineers, and helping drive architectural and performance-related decisions across the team.
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
- 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
- Provide technical leadership and guidance on GPU optimization, performance engineering, and software architecture
- Drive engineering best practices and contribute to technical decision-making for HPC and GPU-accelerated solutions
Requirements
- 8+ 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
- Experience developing and optimizing performance-critical, high-load software systems
- Strong debugging and software architecture skills
- Proven ability to lead technical initiatives and collaborate effectively with cross-functional teams
- English proficiency at B2 level or higher
Nice to have
- Hands-on experience with distributed and multi-GPU computing (MPI, NCCL, NVSHMEM)
- 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