AI Developer Technology Engineer

NVIDIA is seeking an exceptional AI Developer Technology Engineer to join their Compute Developer Technology (Devtech) team. This role sits at the intersection of artificial intelligence and GPU computing, where you'll be instrumental in advancing the future of AI technology.

The position offers a unique opportunity to work with cutting-edge AI and deep learning technologies while optimizing them for NVIDIA's current and next-generation GPU architectures. As an AI Developer Technology Engineer, you'll be involved in developing sophisticated solutions that push the boundaries of what's possible in AI computing.

The role combines technical expertise in AI/ML with hands-on software development, requiring strong programming skills in C/C++ and parallel computing frameworks like CUDA. You'll work directly with key customers, understanding their AI challenges and crafting optimized solutions using NVIDIA's GPU technology.

NVIDIA's position as a leader in accelerated computing makes this an exceptional opportunity for someone passionate about AI and parallel computing. You'll be part of a forward-thinking team that's driving innovation in AI across industries, from autonomous vehicles to healthcare.

The ideal candidate will bring a strong academic background (Masters or PhD) in computer science or engineering, combined with practical experience in AI development. You'll need excellent problem-solving abilities and strong communication skills to collaborate effectively with various teams and customers.

Working at NVIDIA means joining one of technology's most desirable employers, with some of the industry's brightest minds. The company offers a diverse and inclusive work environment, with a strong commitment to fostering innovation and professional growth.

This role is perfect for someone who wants to be at the forefront of AI technology, working on solutions that will shape the future of computing across multiple industries. You'll have the opportunity to influence next-generation architectures and programming models while working with a team that's passionate about pushing the boundaries of what's possible with AI and GPU computing.