About the job
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.
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.
Qualifications
Minimum
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.
Preferred
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.