NVIDIA is looking to hire an AI Infrastructure engineer to help design, develop, and improve scalable infrastructure for AI agents and tools, including copilots and agentic tools, and to drive improvements in architecture, performance, and reliability for LLMs and advanced agent frameworks at scale.
Requirements
- 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., LangChain, OpenAI Functions).
- Exposure to microservices, web apps, or databases (SQL/NoSQL), containers (Docker), Kubernetes, or CI/CD pipelines, distributed messaging systems (e.g., Kafka) or event-driven architectures.
Responsibilities
- Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agent frameworks.
- 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.
Other
- Bachelor's degree or higher in Computer Science or other related field (or equivalent experience).
- Excellent communication skills and a collaborative, proactive approach.
- Applications for this job will be accepted at least until November 3, 2025.
- NVIDIA is committed to fostering a diverse work environment and 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.
