英伟达Developer Technology Engineer, AI
任职要求
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 30 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What You'll Be Doing:
• Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both reference code development and direct contribution to the applications.
• 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.
What We Need To See:
• A BS, MS,…工作职责
N/A
• 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.
• 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.
• Understand the responsibilities associated with embodied AI and strive to enhance them. • Develop on frameworks like IsaacSim and Isaac Lab, ensuring flawless performance. • Profile and investigate the performance of optimized code together with our internal team. • Discuss your approach and results with NVIDIA engineers to continuously improve processes. • Optimize GPU-based physics simulator performance for world-class results. • Collaborate closely with architecture, research, libraries, tools, and system software teams to invent and develop next-generation architectures, software platforms, and programming models.