Senior Software Engineer, AI Storage Infrastructure

Details

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.

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, filesystems, object storage systems, databases, and vector databases.
• Good understanding of NVMe and related technologies.
• Development experience in Cloud, Virtualization (VMware, KVM), and container technologies.
• Advanced knowledge in computer architecture.
• Solid understanding of data structures and algorithms.
• Bash and Python experience.
• Excellent communication and planning skills.
• BS, MS, or PhD in computer science or a related field or equivalent experience.
• 7+ years of strong coding experience using C, C++, Rust, and Python.

Ways to stand out

• Development experience in storage software such as key-value stores, file systems, object storage systems, and vector databases.
• Familiarity with internals of frameworks like PyTorch and JAX.
• Exceptional CUDA programming skills and exceptional C++ programming skills.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits.

Additional Information

Applications for this job will be accepted at least until October 21, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.