Storage Software Engineer

• Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure.
• Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration.
• Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks.
• Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads.
• Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments.
• Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification.

• BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience.
• Strong foundation in algorithms, data structures, distributed systems, operating systems, and practical software design.
• Experience building performance-sensitive systems, storage, backend, or cloud-native software in languages such as Go, Python, Rust, C/C++, or Java.
• Experience with storage systems, object stores, caching, Linux systems, Kubernetes, or cloud infrastructure.
• Ability to reason about performance, scalability, concurrency, reliability, and operational tradeoffs in production systems.
• Ability to design APIs, document systems, communicate clearly, and break ambiguous infrastructure problems into practical execution plans.
• Curiosity and practical judgment around AI-assisted or agentic engineering workflows, including using clear intent, specifications, acceptance criteria, tests, and verification to guide development.

Ways to stand out from the crowd:

• Background with Linux kernel observability, eBPF, tracing, or low-overhead telemetry systems.
• Experience with FUSE, POSIX filesystems, object-store-backed filesystems, or filesystem metadata/indexing.
• Experience optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines., Acceptance Testing, Algorithms, Application Programming Interface (API), Artificial Intelligence (AI), Automotive Automation, C Programming Language, C++ Programming Language, Caching, Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Concurrency, Data Access Objects (DAO), Data Management, Data Sets, Data Storage, Data Structures, Design Document, Distributed Computing, Engineering, File Systems, GPU (Graphics Processing Unit), Hybrid Cloud, Identify Issues, Information Technology & Information Systems, Input/Output, Java, Linux Kernel, ObjectStore Object Oriented Database, Operating Systems, POSIX Operating Systems, Performance Management, Performance Tuning/Optimization, Production Control, Production Systems, Python Programming/Scripting Language, Rust Programming Language, Software Design, Software Engineering, Storage Software, Systems Reliability, Telemetry, Test Design, User Documentation

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence., NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA’s culture promotes and inspires a team of world-class employees to be at the top of their game. We’ve created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

Company Size: 10,000 employees or more