The Developer Technology Engineer (DevTech) plays a crucial role in the success of NVIDIA and the developer community. We work with Technologists from industry and academia to investigate performance of their applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs and at relevant conferences and workshops. With such high visibility to our customers in industry, academia, and the developer community we stand as important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations
NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer.
What you will be doing:
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.
What we need to see:
A Masters Degree in an engineering or computer science related discipline (or equivalent experience)
6+ years of relevant work experience.
Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
Firsthand work 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.
Some travel is required for conferences and for on-site visits with developers.
Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code.