About this role

Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
Work directly with other technical experts in their fields to perform in-depth analysis and optimization of complex AI and HPC workloads.
Publish and present discovered optimization techniques in developer blogs or relevant conferences.
Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
5+ years of relevant work or research experience.
Direct experience improving the performance of large computational applications used by financial institutions.
Excellent understanding of linear algebra.
Programming fluency in C/C++ with a deep understanding of algorithms and software design.
Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
In-depth expertise with CPU/GPU architecture fundamentals.
Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Senior AI Developer, Technology Engineer – Financial Sector

Key skills