AI Developer Technology Engineer

As an AI Developer Technology Engineer at NVIDIA, you will be part of the Compute Developer Technology (Devtech) team, working on cutting-edge techniques in deep learning, graphs, machine learning, and data analytics. Your responsibilities will include: - Studying and developing advanced techniques in deep learning to optimize performance on current- and next-generation GPU architectures. - Collaborating with key customers to understand their problems and provide AI solutions using GPUs. - Working closely with various teams at NVIDIA to influence the design of next-generation architectures and software platforms. To be successful in this role, you should have: - A Masters degree or PhD in engineering or computer science, or equivalent experience with 2+ years of relevant work/research experience. - Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. - Hands-on experience with parallel programming, preferably CUDA C/C++. - Excellent communication, organization, problem-solving, time management, and task prioritization skills. - Willingness to travel for conferences and on-site visits with developers. NVIDIA is known for being a top employer in the technology industry, attracting forward-thinking individuals. If you are a creative and autonomous computer scientist passionate about parallel computing, NVIDIA invites you to join their AI Compute DevTech team. Be a part of building the real-time, cost-effective computing platform that drives success in this rapidly growing field. NVIDIA is dedicated to creating a diverse work environment and is proud to be an equal opportunity employer. They do not discriminate based on race, religion, gender, or any other characteristic protected by law. As an AI Developer Technology Engineer at NVIDIA, you will be part of the Compute Developer Technology (Devtech) team, working on cutting-edge techniques in deep learning, graphs, machine learning, and data analytics. Your responsibilities will include: - Studying and developing advanced techniques in deep learning to optimize performance on current- and next-generation GPU architectures. - Collaborating with key customers to understand their problems and provide AI solutions using GPUs. - Working closely with various teams at NVIDIA to influence the design of next-generation architectures and software platforms. To be successful in this role, you should have: - A Masters degree or PhD in engineering or computer science, or equivalent experience with 2+ years of relevant work/research experience. - Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. - Hands-on experience with parallel programming, preferably CUDA C/C++. - Excellent communication, organization, problem-solving, time management, and task prioritization skills. - Willingness to travel for conferences and on-site visits with developers. NVIDIA is known for being a top employer in the technology industry, attracting forward-thinking individuals. If you are a creative and autonomous computer scientist passionate about parallel computing, NVIDIA invites you to join their AI Compute DevTech team. Be a part of building the real-time, cost-effective computing platform that drives success in this rapidly growing field. NVIDIA is dedicated to creating a diverse work environment and is proud to be an equal opportunity employer. They do not discriminate based on race, religion, gender, or any other characteristic protected by law.