Senior Computer Architect - Deep Learning

NVIDIA is seeking talented architects to design hardware accelerator and processor architectures for state-of-the-art machine learning and data analytics algorithms. As a member of the deep learning architecture team, you'll work on advancing AI capabilities in next-generation GPUs. The role involves staying current with deep learning research while collaborating across teams including researchers, architects, and engineers. You'll analyze deep learning methods, propose acceleration features, and evaluate their benefits.

NVIDIA, a leader in accelerated computing, offers a unique opportunity to impact the future of AI and computing. The company is at the forefront of developing intelligent machines that can learn, reason, and interact with people. From self-driving cars to AI-powered robots, NVIDIA's technology is driving innovation across industries.

The ideal candidate will bring strong expertise in computer architecture, performance optimization, and deep learning workloads. You'll need proficiency in C++, Python, and GPU computing (CUDA), along with experience with deep learning frameworks like PyTorch. This role offers the chance to work with forward-thinking professionals in a company known for innovation and technological advancement.

Join NVIDIA's deep learning architecture team to help build the real-time, cost-effective computing platforms that are transforming industries and advancing the era of AI. This position offers competitive compensation, including equity, and the opportunity to work on cutting-edge technology that's shaping the future of computing.