Senior Storage Systems Engineer for AI & Cloud Data

NVIDIA; Town of Texas (WI); On-site; USD 152,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure.

We solve hard AI problems in storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based workloads. You will contribute to scalable storage, APIs, and telemetry in a fast-paced environment.

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 software design.
• Experience building performance-sensitive systems, storage, backend, or cloud-native software.
• Experience with Go, Python, Rust, C/C++, or Java.
• Experience with Linux systems, Kubernetes, or cloud infrastructure.
• Ability to reason about performance, scalability, concurrency, and reliability.
• Ability to design APIs, document systems, and communicate clearly.

Responsibilities

• Build storage technologies, client libraries, and filesystem frameworks for AI workloads across object stores and hybrid cloud infrastructure.
• Develop high-performance storage paths for training and inference workflows (data loading, checkpointing, caching, POSIX-style access).
• Build observability systems to diagnose storage bottlenecks and expose telemetry through production monitoring stacks.
• Improve performance, scalability, and reliability of storage systems handling massive datasets and high-concurrency workloads.
• Collaborate with internal AI teams, platform teams, SRE, and operations to validate storage against real workloads.

Skills

Algorithms

Data structures

Distributed systems

Operating systems

Software design

Education

BS in Computer Science or related field

Tools

Go

Python

Rust

C/C++

Java

Linux

Kubernetes

FUSE

Job description

NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure.

We solve hard AI problems in storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based workloads. You will contribute to scalable storage, APIs, and telemetry in a fast-paced environment.