Senior DGX Cloud Software Engineer - Infrastructure Automation and Distributed Systems

NVIDIA is seeking an experienced Senior DGX Cloud Software Engineer to join their Infrastructure Automation and Distributed Systems team. This role is central to supporting NVIDIA's AI training and inference development initiatives through building and maintaining platforms, tools, and services for their bare-metal, accelerated compute infrastructure.

The position offers an opportunity to work at the forefront of AI and cloud computing technology, specifically focusing on the DGX Cloud platform ecosystem. The role combines hands-on technical work with strategic system design, requiring expertise in cloud infrastructure, automation, and distributed systems. You'll be working with cutting-edge technologies including Kubernetes, Linux, and various cloud infrastructure tools.

As a senior engineer, you'll be responsible for designing and implementing cloud infrastructure services, participating in defining service level objectives, and working on automation initiatives. The role involves both independent work and collaboration with peer teams, requiring strong technical skills and excellent communication abilities.

NVIDIA offers a competitive compensation package with a base salary range of $144,000 to $270,250 USD, plus equity and additional benefits. The company is known for its innovative work in AI, High-Performance Computing, and Visualization, making it an ideal place for engineers passionate about working with cutting-edge technology.

The position offers flexibility with remote work options while being part of a team that's driving the next wave of artificial intelligence development. NVIDIA's culture emphasizes innovation, autonomy, and technical excellence, making it an attractive destination for engineers looking to make a significant impact in the field of AI and cloud computing.

This role would be ideal for someone with a strong background in infrastructure engineering who wants to work on large-scale systems that power AI and machine learning applications. The position offers opportunities for both technical growth and leadership development, with exposure to advanced technologies and complex technical challenges.