NVIDIA is seeking a Senior Storage Production Engineer for their DGX Cloud team to design, implement, and maintain large-scale storage systems. This role combines software engineering with infrastructure management, focusing on high-performance storage solutions for AI and ML workloads.
The position involves working with cutting-edge storage technologies and architectures, ensuring high availability and performance for NVIDIA's GPU cloud services. You'll be responsible for developing automation frameworks, implementing monitoring systems, and optimizing storage performance for AI/ML workloads.
As a Production Engineer, you'll work at the intersection of storage architecture and cloud computing, using technologies like Kubernetes, distributed storage systems, and modern monitoring tools. The role requires expertise in storage protocols, system design, and programming languages like Python, Go, or C++.
NVIDIA offers a competitive compensation package with a base salary range of $148,000 - $287,500 USD, plus equity. The company is at the forefront of AI and GPU technology, making this an excellent opportunity for someone passionate about storage systems and high-performance computing.
The ideal candidate will have 5+ years of experience, strong technical skills in storage systems, and the ability to work with distributed teams. You'll be part of a team that ensures reliability and performance of storage systems that power next-generation AI and cloud computing solutions.
Working at NVIDIA means being part of a company that's leading innovation in AI, HPC, and visualization. The role offers the flexibility of remote work while collaborating with some of the industry's brightest minds. If you're interested in solving complex storage challenges at scale and working with cutting-edge technology, this position offers an excellent opportunity to make a significant impact.