Senior Storage Systems Engineer for AI Data Infrastructure

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA is seeking a software engineer to join the DGXC Data Services team in Santa Clara, CA. You will build storage technologies, client libraries, and filesystem frameworks for AI workloads across object stores and hybrid cloud, with a focus on performance, reliability, and scalability.

Qualifications include a BS in CS or related field and 5+ years of software engineering; strong knowledge of algorithms, data structures, distributed systems, and languages such as Go, Python, Rust, C/C++, or

Qualifications

• BS in Computer Science, Information Systems, Computer Engineering, or equivalent with 5+ years of software engineering.
• Strong knowledge of algorithms, data structures, and distributed systems.
• Experience building performance-sensitive storage or cloud-native software.

Responsibilities

• Build storage technologies, client libraries, and filesystem frameworks for AI workloads across hybrid cloud.
• Develop high-performance storage paths for training and inference, including data loading and caching.
• Build observability systems to diagnose storage bottlenecks and expose telemetry.
• Improve performance, scalability, reliability of storage systems handling large datasets.
• Collaborate with internal AI, platform, SRE teams to validate storage against workloads.

Skills

5+ years software engineering

Algorithms and data structures

Distributed systems

Go

Python

Rust

C/C++

Java

Linux

Kubernetes

Education

BS in Computer Science or related

Tools

Kubernetes

Linux systems

Object storage

Job description

NVIDIA is seeking a software engineer to join the DGXC Data Services team in Santa Clara, CA. You will build storage technologies, client libraries, and filesystem frameworks for AI workloads across object stores and hybrid cloud, with a focus on performance, reliability, and scalability.

Qualifications include a BS in CS or related field and 5+ years of software engineering; strong knowledge of algorithms, data structures, distributed systems, and languages such as Go, Python, Rust, C/C++, or