Senior Deep Learning Infrastructure Engineer

NVIDIA • Santa Clara, CA

3d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees