China, Beijing, China · hace 5 meses
Estudiarás y optimizarás cargas de trabajo de aprendizaje profundo y aprendizaje automático basadas en CUDA para las arquitecturas de GPU actuales y de próxima generación, y trabajarás con clientes clave para ofrecer soluciones de IA en GPUs.
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: 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. What we need to see: 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 considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
Publicada el 26 may 2026
