Senior Storage Engineer for AI Data Infrastructure

NVIDIA Corporation; United States; Remote; USD 152,000 - 288,000; Full time

Job summary

NVIDIA Corporation in the United States is seeking a software engineer to help build data storage and cloud-native infrastructure for AI workloads. You will design and implement high-performance storage paths, observability, and APIs while collaborating with internal AI teams and platform teams.

Qualifications include a BS in CS or related field with 5+ years of software engineering, strong fundamentals in distributed systems and OS, and experience with Go, Python, Rust, C/C++, or Java;

Qualifications

• BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience.
• 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.

Responsibilities

• 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.

Skills

Algorithms

Data structures

Distributed systems

Operating systems

Software design

Go

Python

Rust

C/C++

Java

Cloud infrastructure

Education

BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience

Tools

Kubernetes

Linux

FUSE

POSIX filesystems

eBPF

Job description

NVIDIA Corporation in the United States is seeking a software engineer to help build data storage and cloud-native infrastructure for AI workloads. You will design and implement high-performance storage paths, observability, and APIs while collaborating with internal AI teams and platform teams.

Qualifications include a BS in CS or related field with 5+ years of software engineering, strong fundamentals in distributed systems and OS, and experience with Go, Python, Rust, C/C++, or Java;