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Senior Software Engineer, AI Storage

2 Locations💼 Full-time💰 $184,000–$184,000🗓 2026-05-15 → 2026-08-01

Core

Developing high-performance, secure infrastructure and data storage solutions for GPU I/O to support AI computing workloads.

Role type

Senior Software Engineer, AI Storage

Builds

High-performance storage software, C++/CUDA libraries, and optimized I/O stacks for GPU applications.

Domain

AI computing, GPU infrastructure, storage systems

Deliverable

production ML models | infrastructure

Required skills

C++, CUDA, Linux kernel internals, Filesystem/Object storage, NVMe, Computer Architecture, Data structures and algorithms, Bash, Python

Preferred skills

Storage software (Key-Value, Vector Databases), PyTorch/JAX internals, Exceptional CUDA/C++ programming

Technologies

C++, CUDA, Linux, NVMe, VMware, KVM, PyTorch, JAX

Responsibilities

Develop new features and technologies for GPU I/O data storage; Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance; Remove performance bottlenecks in the I/O stack, frameworks, and applications; Collaborate with research teams on complex engineering tasks.

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities • 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. ## Requirements • 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 ## Nice to Have • 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 ## Benefits You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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