Senior Deep Learning Infrastructure Engineer

- Work towards building applications and developing infrastructure for a highly scalable deep learning platform.

- Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services.

- Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products.

- Be an engineering generalist. Discover and build skills needed at different times towards solving problems at hand.

- Bachelor's/Master's degree in computer science, engineering, or related field (or equivalent experience)

- Minimum 6+ years of experience in services, pipelines, API development and system design.

- Expertise in Python, JavaScript or another similar programming language

- Zeal to learn and perform beyond prior experience and expertise.

- Experience in dev-ops, full-stack development, databases and cloud computing.

- Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 4, 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.