Senior Applied AI Engineer
NVIDIAJob Title
Senior Applied AI Engineer
Role Summary
Join NVIDIA's applied AI team for chip design to build and scale agentic and LLM-enabled services for production. The role focuses on designing infrastructure, deploying agents and copilots, and collaborating with research, hardware, and software teams to productionize AI capabilities for chip design workflows.
Experience Level
Senior — typically 5+ years of hands-on software engineering experience building production-grade systems and shipping AI/LLM-powered applications.
Responsibilities
The role owns infrastructure and services that enable agentic tools and LLM workflows in production.
- Design, develop, and improve scalable infrastructure for AI applications, including copilots and agentic tools.
- Improve architecture, performance, reliability, and operational readiness for LLMs and agent frameworks at scale.
- Collaborate with hardware, software, and research teams; mentor peers and promote engineering best practices.
- Build tooling and integrations that allow agents to call services, access codebases, and interact with enterprise workflows securely.
- Maintain production deployments, observability, and CI/CD for agentic services and automation workflows.
Requirements
Must-have skills and experience. Degree expectations are listed under Education Requirements.
- 5+ years hands-on software engineering experience building production-grade software systems and shipping AI/LLM-powered applications, agents, or automation workflows.
- Strong Python engineering skills; able to design, prototype, and productionize services, APIs, and internal tools.
- Practical experience building LLM-powered agents or agentic workflows and applying coding agents to improve developer workflows.
- Solid software engineering fundamentals: system and API design, testing, CI/CD, code quality, observability, security, databases, containers, and distributed or event-driven systems.
- Proven end-to-end ownership of engineering solutions including deployment and ongoing operations/support.
- Excellent communication skills and a collaborative, proactive approach.
- Nice to have: experience integrating agents with existing systems using emerging patterns (e.g., MCP, Skills) and strong experience connecting AI tools to enterprise services and data sources.
Education Requirements
MS or higher degree (or equivalent practical experience) in Computer Science, Engineering, AI, or a related technical field. Equivalent practical experience is explicitly accepted.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
