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 sits at the intersection of big data processing and GPU acceleration, working on technology that enables data engineers and scientists to advance their ideas. The position offers an opportunity to work with cutting-edge technology in AI and digital twins, developing platforms that transform the world's largest industries.

The role involves designing and implementing Kubernetes-based GPU-accelerated data processing services at scale, requiring expertise in distributed systems and performance optimization. You'll be responsible for improving time to first query metrics, driving platform engagement, and creating innovative solutions for NVIDIA's enterprise-scale data science platform.

This is an excellent opportunity for experienced engineers passionate about distributed systems and big data processing. The role offers competitive compensation ranging from $148,000 to $287,500 USD (depending on level), plus equity and benefits. You'll be working with state-of-the-art GPU technology and contributing to NVIDIA's mission of advancing accelerated computing.

The ideal candidate will have strong experience with Kubernetes, distributed systems, and performance tuning of Spark applications. Knowledge of GPU computing and CUDA is a plus. You'll be part of a team that's pushing the boundaries of what's possible in data processing and machine learning infrastructure, while working for a company that's at the forefront of AI and computing innovation.