NVIDIA AI Infrastructure

About the Company

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible.

NVIDIA is widely recognized as one of the world's most desirable employers. We bring together some of the most innovative and dedicated minds in the industry. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

About the Role

We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. You'll work alongside engineers and researchers, collaborating in the development and maintenance of core infrastructure for AI agents and tools. This is a unique opportunity to learn, grow, and make an impact in a supportive, innovative environment.

Responsibilities

• Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools
• Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale
• Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation

Qualifications

• Pursuing a Bachelor's degree or higher in Computer Science or other related field
• Experience with Python (required) and JavaScript
• Knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code
• Practical experience in AI, machine learning, or agent frameworks (e.g., Lang Chain, OpenAI Functions)
• Exposure to microservices, web apps, or databases (SQL/NoSQL), containers (Docker), Kubernetes, or CI/CD pipelines
• Exposure to distributed messaging systems (e.g., Kafka) or event-driven architectures
• Excellent communication skills and a collaborative, proactive approach