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.” Were 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:<ul><li>Work on first solutions in the industry that bring exceptional performance and security improvements to the infrastructure used by leading applications.</li><li>Develop new features and enable various technologies around data storage for GPU IO.</li><li>Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance</li><li>Remove performance bottlenecks by coming up with optimization(s) in the IO stack, frameworks, and applications.</li><li>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.</li></ul>What we need to see:<ul><li>Good knowledge of Linux kernel internals, Filesystem, Object storage systems, Databases, Vector Databases</li><li>Good understanding of NVMe and related technologies</li><li>Development experience in Cloud, Virtualization (VMware, KVM), Container technologies.</li><li>Advanced knowledge in Computer Architecture</li><li>Solid understanding in data structures and algorithms</li><li>Bash and Python experience</li><li>Excellent communication and planning skills.</li><li>BS or MS or PhD in computer science or a related field or equivalent experience.</li><li>7+ years of strong coding experience using C, C++, Rust, Python</li></ul>Ways to stand out from the crowd:<ul><li>Development experience in storage software such as Key-Value, File systems object storage systems, Vector Databases</li><li>Internals of frameworks like PyTorch, JAX</li><li>Exceptional CUDA programming skills. Exceptional C++ programming skills</li></ul>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 youre 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 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until September 11, 2025.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.

NVIDIA

Senior Software Engineer, AI Storage Infrastructure

NVIDIA

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