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# Senior Software Engineer, AI Storage

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, C++ (Programming Language), Cloud Computing, Nvidia CUDA, Computer Programming, Databases, Data Structures, File Systems, Python (Programming Language), Kernel-Based Virtual Machine, Virtualization Technology, Rust (Programming Language), Data Storage Technologies, Pytorch, Containerization, Storage Technologies, Information Technology, Nvme, Vmware
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=668824a4842198d4

## About the Role

* Good knowledge of Linux kernel internals, Filesystem, Object storage systems, Databases, Vector Databases
 * Good understanding of NVMe and related technologies
 * Development experience in Cloud, Virtualization (VMware, KVM), Container technologies.
 * Advanced knowledge in Computer Architecture
 * Solid understanding in data structures and algorithms
 * Bash and Python experience
 * Excellent communication and planning skills.
 * BS or MS or PhD in computer science or a related field or equivalent experience.
 * 7+ years of strong coding experience using C, C++, Rust, Python

Ways to stand out from the crowd:

 * Development experience in storage software such as Key-Value, File systems object storage systems, Vector Databases
 * Internals of frameworks like PyTorch, JAX
 * Exceptional CUDA programming skills. Exceptional C++ programming skills

## Description

* Work on first solutions in the industry that bring exceptional performance and security improvements to the infrastructure used by leading applications.
 * Develop new features and enable various technologies around data storage for GPU IO.
 * Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance
 * Remove performance bottlenecks by coming up with optimization(s) in the IO stack, frameworks, and applications.
 * Work collaboratively with other specialists including the research teams and be willing to take on complex engineering tasks that progress towards the goals of the team and the company.


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