Senior Data Processing Platform Engineer

NVIDIA, the world leader in accelerated computing, is seeking a Senior Data Processing Platform Engineer to join their innovative team. This role is crucial in developing data processing and ML platforms that enable data scientists to advance their ideas. The position offers a competitive salary range of $148,000 - $287,500 depending on level and experience, along with equity and comprehensive benefits.

The role involves designing and implementing Kubernetes-based GPU accelerated data processing services at scale, focusing on high availability and reliability. You'll be working with cutting-edge technology, optimizing distributed computing infrastructure, and driving platform engagement metrics. This is an opportunity to work with NVIDIA's pioneering enterprise-scale data science platform.

The ideal candidate will have 5+ years of experience in software engineering with a strong mathematical background. You'll need expertise in Kubernetes, distributed systems, and performance tuning of Spark applications. Experience with GPU computing and CUDA is a plus. The position offers the flexibility of hybrid work across multiple locations including Santa Clara, Austin, Durham, New York, and Seattle.

This role is perfect for someone who wants to be at the forefront of AI and accelerated computing technology, working on solutions that transform the world's largest industries. You'll be part of a team that's pushing the boundaries of what's possible in data processing and machine learning infrastructure, while enjoying the benefits and stability of working for a global technology leader.