NVIDIA is looking for a passionate, world-class CUDA development engineer to work in its Compute Developer Technology (DevTech) team. When you join us, you will be working with the best CUDA experts and deep learning scientists, and collaborating with the world’s leading technology companies, on all areas of accelerated computing, such as computer vision, speech recognition and synthesis, natural language processing, recommender systems, graphics, etc. You can show your talent on the newest and fastest NVIDIA GPU accelerated computing platforms by your excellent CUDA programming skills.

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.

• 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.

What we need to see:

• A degree from university in an engineering or computer science related discipline (BS; MS or PhD preferred).

• 2+ years working experience

• Solid skills of CUDA C/C++ programming, performance profiling and optimization.

• Expert knowledge of GPU arch.

• Strong knowledge of C/C++, software design, programming techniques, GPU arch, parallel computing, and AI algorithms.

• Good communication skills. 

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.