Senior Storage Engineer for AI Data Services — Equity

NVIDIA Corporation; Santa Clara (CA); In loco; USD 152.000 - 288.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Benefits

Descrizione del lavoro

NVIDIA Corporation is hiring for a role in the DGXC Data Services team to design and build cloud-native storage systems and frameworks that power AI workloads at exabyte scale. You will work on high-performance storage paths, POSIX-style access, and object-store integration, ensuring scalability and reliability across hybrid cloud environments.

You will collaborate with internal AI teams, platform teams, SRE, and operations to validate storage behavior under real workloads, using modern software

Competenze

• 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 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 infrastructure problems into practical plans.
• Curiosity and judgment around AI-assisted or agentic engineering workflows.

Mansioni

• Build storage technologies, client libraries, and filesystem frameworks for AI workloads across object stores and cloud infrastructure.
• Develop high-performance storage paths for training and inference, including data loading, checkpointing, and caching.
• Create observability systems to diagnose storage bottlenecks and expose telemetry via production stacks.
• Improve performance, scalability, and reliability of storage systems serving massive datasets and high-concurrency workloads.
• Collaborate with AI teams, platform teams, SRE, and operations to validate storage behavior in real workloads.

Conoscenze

Algorithms

Data structures

Distributed systems

Operating systems

Go

Python

Rust

C/C++

Java

APIs design

Documentation

Communication

AI-assisted development

Formazione

Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or equivalent experience

Strumenti

Kubernetes

Linux

Cloud infrastructure

Descrizione del lavoro

NVIDIA Corporation is hiring for a role in the DGXC Data Services team to design and build cloud-native storage systems and frameworks that power AI workloads at exabyte scale. You will work on high-performance storage paths, POSIX-style access, and object-store integration, ensuring scalability and reliability across hybrid cloud environments.

You will collaborate with internal AI teams, platform teams, SRE, and operations to validate storage behavior under real workloads, using modern software