Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms.
Publish and/or 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).
8+ years of relevant experience in software development or research work.
Programming fluency in C/C++ with a deep understanding of algorithms and software development.
A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
Hands on experience doing low-level performance optimizations.
In-depth expertise with CPU and GPU architecture fundamentals.
Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

AI Developer, Technology Engineer

Key skills