Senior Developer Technology Engineer at NVIDIA researching and developing techniques to GPU accelerate AI workloads. Collaborating with industry experts and optimizing algorithms for best performance.
Responsibilities
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 to ensure the best possible AI solutions on modern CPU and GPU architectures.
publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
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.
Requirements
A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).
8+ years of relevant work experience or research.
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.
Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
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