英伟达AI Developer Technology Engineer
任职要求
• Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience. • 3+ working year experience. • Experience with C++, CUDA, Python, and Linux. • Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo. • Strong communication skills and the ambition to grow and learn about building machine learning applications, optimiz…
工作职责
• Understand the responsibilities associated with embodied AI and strive to enhance them. • Develop on products 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.
• Work and develop state of the art 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 • You will provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
• You will work and develop state of the art 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 • You will provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
• You will work and develop state of the art 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 • You will provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams 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.