Senior Distributed Systems Engineer, AI Infrastructure

NVIDIA is seeking a Senior Distributed Systems Engineer to lead the development of their exa-scale AI infrastructure and deep learning platform for Autonomous Vehicles. This role sits at the intersection of distributed systems and artificial intelligence, focusing on building scalable solutions for one of technology's most challenging problems. The position requires expertise in cloud technologies, distributed systems, and strong programming skills, with opportunities to work on cutting-edge applications in autonomous vehicles, medical imaging, and genomics.

The role involves architecting and developing scalable distributed services, managing petabyte-sized datasets, and implementing next-generation dataset management solutions. You'll be working with LLMs and AI agents to create intelligent assistants, while collaborating with multiple AI teams to build a future-proof platform. Technical leadership is a key component, as you'll be guiding various projects and contributing to the platform's overall architecture.

NVIDIA, recognized as a leader in accelerated computing, offers a competitive compensation package and the opportunity to work on transformative technology. The position requires 5+ years of experience in distributed systems, strong programming skills particularly in Python, Go, or C/C++, and a deep understanding of distributed computing architectures. Knowledge of security principles and experience with technologies like Kubernetes and Docker are valuable assets.

This role presents an exciting opportunity to shape the future of AI infrastructure while working with some of the industry's most forward-thinking professionals. You'll be at the forefront of developing solutions that power autonomous vehicles and other critical AI applications, making a significant impact on multiple industries.