NVIDIA

NVIDIA

Posted via Workday

Senior Software Engineer, AI Storage

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $287.5K/yr
Location
2 Locations, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
7+ years of strong coding experience
Education
BS or MS or PhD in computer science or a related field or equivalent experience

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Role Summary

AI-generated

This role develops infrastructure and data-storage technologies for GPU I/O, with a focus on performance and security improvements for leading applications. The work involves advanced C++/CUDA libraries and algorithms, optimization across the I/O stack and applications, and collaboration with research teams and other specialists.

What You'll Do

  • Develop new features and enable technologies around data storage for GPU I/O.
  • Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance.
  • Identify and remove performance bottlenecks in the I/O stack, frameworks, and applications.
  • Work collaboratively with research teams and other specialists.
  • Take on complex engineering tasks that progress toward team and company goals.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required: Linux kernel internals, filesystems, object storage systems, databases, vector databases, NVMe, cloud, virtualization, container technologies, computer architecture, data structures and algorithms, Bash, Python, communication and planning, and 7+ years of coding experience using C, C++, Rust, and Python.

Required

  • Linux kernel internals
  • Filesystems
  • Object storage systems
  • Databases
  • Vector databases
  • NVMe and related technologies
  • Cloud development
  • Virtualization with VMware or KVM

Preferred

  • Development experience in storage software such as Key-Value, file systems, object storage systems, and vector databases
  • Internals of frameworks like PyTorch and JAX
  • Exceptional CUDA programming skills
  • Exceptional C++ programming skills

Original job description

Content provided by the employer

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most inquisitive people in the world. Join us at the forefront of technological advancement.

What you’ll be doing:

  • 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.

What we need to see:

  • 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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 18, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.