Senior Software Engineer, AI Storage

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 22 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $236k

$150k most similar roles pay here $302k

This role pays more than 77% of similar roles. Most pay $164,707–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $200k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, AI Storage

Apply Now Log in to save

Join our cutting-edge team as a Senior Software Engineer where you will work on pioneering solutions that enhance performance and security in AI infrastructure, developing advanced C++/CUDA libraries and algorithms. You’ll collaborate with research teams to optimize IO stacks, frameworks, and applications, removing bottlenecks for leading-edge technologies like GPU IO and vector databases. Ideal candidates possess deep knowledge of Linux kernel internals, filesystems, object storage systems, and databases, along with expertise in NVMe, cloud virtualization, and container technologies. Strong skills in C++, Rust, Python, Bash, and CUDA are essential, as is a solid background in computer architecture and data structures. This role demands exceptional communication and planning abilities to tackle complex engineering challenges that drive our company’s ambitious goals.

Skills

Linux C++ CUDA Python Rust Bash NVMe Cloud Virtualization Container technologies Computer Architecture Data structures Algorithms PyTorch JAX Key-Value storage File systems Object storage systems Vector Databases

What you'll do

Develop industry-first solutions to enhance infrastructure performance and security.
Create new features and technologies for data storage in GPU IO environments.
Build high-speed C++/CUDA libraries and algorithms for optimal performance.
Identify and resolve performance bottlenecks in IO stacks, frameworks, and applications.
Collaborate with research teams on complex engineering tasks aligned with company goals.

What we're looking for

7+ years of coding experience in C, C++, Rust, Python
Advanced knowledge in Linux kernel internals, filesystems, object storage systems, databases
Strong understanding of NVMe technologies and computer architecture
Experience developing cloud, virtualization (VMware, KVM), container technologies
Expertise in data structures, algorithms, CUDA, and C++ programming
Development experience with storage software including key-value, file systems, vector databases
BS or MS or PhD in computer science or equivalent technical field

Similar roles

Senior Software Engineer, AI Frameworks

Nvidia

Remote (Santa Clara, CA) 68 days ago $152,000–$241,500

Kubernetes Docker CI/CD Python Go C++ PyTorch Ray llm-d Dynamo Helm Kustomize Terraform AWS Grafana Prometheus GitOps OpenAPI Swagger

Remote

Save

Senior Software Engineer, Internal AI

Zip

Remote (San Francisco, CA) 44 days ago $200,000–$240,000

AWS Snowflake n8n Salesforce Notion Slack Okta Python Node.js MCP LLM APIs CI/CD

Remote

Save

Senior AI Solutions Engineer

Elevance Health

Chicago, IL 19 days ago $132,088–$198,132

Python SQL AWS Bedrock LLMs OpenSearch RAG NLP APIs MLOps CI/CD Healthcare data privacy Responsible AI principles Cloud-based ML platforms Microservices Evaluation frameworks for ML/LLM systems

Hybrid

Save