Senior ML Platform Engineer

NVIDIA, the pioneer of GPU technology and leader in accelerated computing, is seeking a Senior ML Platform Engineer to drive innovation in their AI infrastructure. This role sits at the intersection of machine learning and platform engineering, focusing on building and scaling high-performance ML infrastructure used across NVIDIA's AI research and product teams. The position offers the opportunity to work with cutting-edge GPU technology and some of the world's most powerful computing systems.

The role involves architecting and optimizing ML platforms that enable scientists and engineers to train, fine-tune, and deploy advanced ML models. You'll be responsible for developing internal tools for ML workflow orchestration, managing distributed GPU clusters, and ensuring high availability of critical AI infrastructure. The position requires expertise in both ML systems and platform engineering, with hands-on experience in technologies like Kubernetes, Docker, and modern ML frameworks.

NVIDIA offers competitive compensation with a base salary range of $184,000 - $356,500 USD (depending on level), plus equity and benefits. The company provides multiple location options including Santa Clara, Westford, Austin, and Durham, allowing for geographical flexibility while working on groundbreaking AI technology.

This is an excellent opportunity for experienced engineers passionate about ML infrastructure who want to impact the future of AI computing. You'll work with top talent in the field, have access to the latest GPU technology, and help shape the platforms that power NVIDIA's AI innovation. The role combines technical depth in ML systems with the challenge of building developer-friendly platforms at scale.