英伟达Developer Technology Engineer, AI
任职要求
• A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience). While not a requirement, domain expertise in LLM, CTR, CV, or HPC, is helpful. • 3+ years experience, programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms. • Strong mathematical fundamentals, including linear algebra and numerical methods. • Experience with parallel programming, ideally CUDA C/C++. • Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Widely consi…
工作职责
• Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency. • Need to travel from time to time for conferences and for on-site visits with developers.
• Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. • Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
• Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. • Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models. • Some travel is required for conferences and for on-site visits with customers.