AI Developer Technology Engineer

NVIDIA is looking for a passionate, world-class computer scientist to work in its Data Processing Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence is transforming how we work, live, and create — and at NVIDIA, we’re building the technology that makes it possible. In the next few years, AI will transform every industry. To enable this transformation, we need to accelerate a wide range of machine learning and AI applications and develop data structures and processing methods that can handle the growing needs of the industry. Are you thrilled by algorithmic challenges, and motivated to find the most efficient parallel implementations? Are you conscious about design choices that unlock the best performance on a given computer architecture? Join us to help define how the next generation of AI models — and the infrastructure that supports them — will be built and optimized. 

What you will be doing: 

• Study and develop cutting-edge techniques in machine learning, graphs, data analytics and deep learning, 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 or PhD in an engineering or computer science related discipline and 3+ years of relevant work or research 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. 

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. 

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.