Senior Software Engineer, AI Storage

Reposted 3 Days Ago
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing cutting-edge AI storage solutions, optimizing performance for GPU IO, and collaborating with research teams using advanced C++, CUDA, and knowledge in data structures, algorithms, and storage systems.
Summary Generated by Built In

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 May 7, 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.

Skills Required

  • 7+ years of strong coding experience using C, C++, Rust, Python
  • Good knowledge of Linux kernel internals, Filesystem, Object storage systems, 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
  • BS or MS or PhD in computer science or a related field or equivalent experience

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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 AI — 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, NVIDIA is increasingly known as “the AI computing company.”

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