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About the Role

NVIDIA is seeking top-tier Senior Deep Learning Infrastructure Engineers to build the deep learning infrastructure that powers AI agents for VLSI design, driving innovation and efficiency in chip development. Join a dynamic, professional, and growth-oriented environment to shape the future of AI-driven chip design.

Responsibilities

• Build applications and develop 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.
• Collaborate with domain experts and research teams to productize, release, and maintain deep learning products.
• Act as an engineering generalist, acquiring and applying necessary skills to solve problems.

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.

Skills

• Python
• JavaScript
• Dev-ops
• Full-stack development
• Databases
• Cloud computing
• Machine learning fundamentals
• RAG pipeline development
• LLM application development

Location

• Remote

Work Type

• Full-time

Experience Level

• Senior
• Level 4
• Level 5

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• 184,000 USD - 287,500 USD for Level 4
• 224,000 USD - 356,500 USD for Level 5

Benefits

• Equity
• Benefits

About the Company

• NVIDIA has continuously reinvented itself over two decades, sparking the growth of the PC gaming market, redefining modern computer graphics, and revolutionizing parallel computing with the GPU. More recently, GPU deep learning ignited modern AI. NVIDIA is a 'learning machine' that constantly evolves by adapting to new opportunities that are hard to solve, only they can pursue, and that matter to the world. Their life's work is to amplify human inventiveness and intelligence.
• NVIDIA is widely considered to be the leader of AI computing and one of the technology world's most desirable employers, with forward-thinking and talented people.
• NVIDIA uses AI tools in its recruiting processes.

Equal Opportunity

• NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer.
• 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.