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).
- Strong knowledge of C/C++, software design, programming techniques, GPU arch, parallel computing, and AI algorithms.
- Prefer solid skills of CUDA C/C++ programming, performance profiling and optimization.
- Prefer expert knowledge of GPU arch.
- Good communication skills.
