Senior R&D Engineer

ABOUT THE ROLE

In this role, you will contribute to the design, development, and optimization of high-performance GPU-accelerated algorithms for advanced numerical methods and computer vision applications. You will work closely with domain experts and engineering teams to translate complex mathematical models into efficient, scalable, and vector-friendly solutions, moving ideas from Python prototypes to production-grade C++ implementations.

You will play an important role in improving application performance on modern NVIDIA GPU architectures, influencing technical decisions around CUDA kernel optimization, mixed-precision computing, task-based runtimes, and multi-GPU execution

RESPONSIBILITIES

• Design, implement, and tune high-performance CUDA kernels
• Profile, benchmark, and iterate using Nsys, Nsight
• Collaborate with domain scientists to translate mathematical models into vector-friendly algorithms
• Prototype new approaches in Python and harden them in C++
• Influence architecture decisions related to task-based runtimes, mixed-precision arithmetic, and multi-GPU scheduling

REQUIREMENTS

• Strong hands-on experience with algorithmic design and optimization of numerical methods, with at least 12 months of commercial experience in this area
• Solid understanding of design/developing/profiling CUDA kernel for modern architectures: Ampere and above, CUDA core C++ library: CUB, Thrust, etc
• Experience with C++
• Background in Computer Vision
• Advanced knowledge in Microsoft Visual Studio