Senior System Software Engineer - DevOps and Infrastructure Automation

NVIDIA, the world leader in accelerated computing, is seeking a Senior DevOps Engineer for their AI Inference Operations Team. This role represents a unique opportunity to be at the forefront of DevOps practices, taking ownership of critical systems that drive engineering innovation. The position involves building and maintaining infrastructure for AI Inferencing products, managing CI/CD pipelines, and implementing security measures.

The ideal candidate will have 3+ years of experience in Computer Science or related fields, with strong expertise in Python, Kubernetes, and cloud platforms. The role offers a competitive salary range of $148,000 - $287,500 USD (depending on level), plus equity and comprehensive benefits.

Working at NVIDIA means joining one of technology's most desirable employers, where you'll be part of a team driving success in Deep Learning and Artificial Intelligence. The company is committed to fostering a diverse work environment and values innovation and autonomous thinking.

This position offers the opportunity to work with cutting-edge technology, collaborate with cross-functional teams, and contribute to the development of AI infrastructure. You'll be responsible for designing and implementing solutions that improve efficiency and reliability across the organization, while working with external partners to achieve ambitious goals.

The role combines technical expertise with strategic thinking, requiring skills in infrastructure automation, Kubernetes, and observability. It's an excellent opportunity for someone passionate about infrastructure and DevOps to make a significant impact at one of the world's most innovative companies.