NVIDIA is seeking a Senior Storage and Data Production Engineer to join their team focused on designing, building, and maintaining large-scale production systems. This role combines software engineering expertise with storage architecture knowledge to support NVIDIA's GPU cloud services.
The position involves working with cutting-edge storage technologies that power AI, HPC, and cloud computing initiatives. You'll be responsible for ensuring reliable, scalable storage solutions while optimizing performance for high-throughput computing environments. The role requires deep technical expertise in distributed storage systems, automation, and performance optimization.
As a Production Engineer at NVIDIA, you'll ensure both internal and external-facing GPU cloud services maintain promised reliability and uptime. You'll work on automating storage operations, improving data access efficiency, and optimizing storage performance for AI/ML workloads. The role involves hands-on work with various storage technologies, from parallel file systems to object storage, and requires expertise in storage networking protocols.
The ideal candidate will have 5+ years of experience and strong technical foundations in computer science or related fields. You'll need expertise in storage systems, infrastructure automation, and software development. Experience with monitoring tools, configuration management, and storage optimization is essential.
NVIDIA offers competitive compensation with a base salary range of $148,000 - $287,500 USD, plus equity and benefits. You'll be working at the forefront of AI and computing technology, contributing to groundbreaking developments in artificial intelligence, high-performance computing, and visualization. The company values creativity, passion, and self-motivation, offering an environment where you can make significant impacts on next-generation storage solutions.