Senior Deep Learning Infrastructure Engineer

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA is seeking top-tier Senior Deep Learning Infrastructure Engineers. In this role, you will play a crucial part in building the deep learning infrastructure that powers our AI agents for VLSI design, driving innovation and efficiency in chip development. Join us in a dynamic, professional, and growth-oriented environment where your expertise will have a significant impact on the future of technology. If you are passionate about crafting groundbreaking solutions and contributing to a meaningful, technology-focused company, this is your opportunity to shape the next generation of AI-driven chip design.

What you'll be doing:

• 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.

What we need to see:

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

• Minimum 5 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.

Ways to stand out from the crowd:

• 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until .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.