Senior Storage Software Engineer

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $152,000–$241,500 / yr
Posted: 2 days ago
Freshness: Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $197k

$141k most similar roles pay here $252k

This role pays less than 56% of similar roles. Most pay $165,762–$240,887 — the shaded band above. At the midpoint, this role pays about $197k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Storage Software Engineer

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As a Senior Storage Software Engineer on the DGXC Data Services team, you will develop cloud-native systems, frameworks, and services to manage data across hybrid and multi-cloud infrastructure. You will build storage technologies, client libraries, and filesystem frameworks to facilitate AI workloads accessing data via object stores and file systems. Your daily work involves developing high-performance storage paths for training and inference, building observability systems to diagnose bottlenecks, and improving the reliability of systems serving massive datasets. You will utilize Go, Python, Rust, C/C++, or Java while working with Linux systems, Kubernetes, and cloud infrastructure. The role addresses critical challenges in AI data management, including ingestion, governance, and performance optimization for high-concurrency workloads. You must possess a strong foundation in distributed systems, operating systems, and algorithms to solve complex infrastructure problems.

Skills

Go Python Rust C/C++ Java Kubernetes Linux eBPF POSIX FUSE Distributed Systems Cloud Infrastructure Telemetry Data Pipelines High-Performance Computing SRE

What you'll do

Build storage technologies, client libraries, and filesystem frameworks for multi-cloud data access.
Develop high-performance storage paths for training and inference workflows including checkpointing and caching.
Integrate object stores and POSIX-style access into hybrid cloud infrastructure.
Create observability systems to diagnose storage bottlenecks and attribute GPU idle time to I/O behavior.
Improve performance, scalability, and reliability of systems serving massive datasets and high-concurrency workloads.
Validate storage behavior against real production environments in collaboration with internal AI and platform teams.
Implement modern software engineering practices including AI-assisted and agentic development workflows.

What we're looking for

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 ambiguous problems into execution plans.
Curiosity and practical judgment regarding AI-assisted and agentic engineering workflows.

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