Job Url: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--Agentic-AI_JR1998242?source=jobboardlinkedin Job Description: Senior Software Engineer, Agentic AI Apply locations US, CA, Santa Clara US, TX, Austin US, NC, Remote US, TX, Remote US, NC, Durham View All 6 Locations time type Full time posted on Posted 2 Days Ago job requisition id JR1998242 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Senior Software Engineer to help build the Agent Intelligence (AIQ) toolkit, an open-source library for connecting enterprise agents to data sources and tools across any framework. In this role, you’ll be at the forefront of agentic application development, working with the latest LLM frameworks and libraries to create a powerful toolkit that enables large-scale AI agents for modern enterprises. You’ll design tracing and profiling tools to help scale these applications and collaborate with experts across domains to optimize performance, using the full power of the NVIDIA stack. Together, we’ll push the boundaries of NVIDIA’s core frameworks, revolutionizing AI applications for our enterprise customers! What you'll be doing: Implementing new features of our GenAI SDKs that enable LLM agents to expand to new, more demanding use cases and larger deployment configurations. Crafting proof-of-concept workflows rooted in first principles that apply modern data science techniques to GenAI use cases. Collaborating with other engineers to develop new optimizations for agentic applications across the entire data center, which focus on improving accuracy, reducing latency, and growing efficiency. Building integrations between the AIQ toolkit and other NVIDIA products and services, such as the NeMo Framework, NIMs, and NVIDIA Blueprints. Working with data scientists and ML/DL engineers to move from proof-of-concept analysis and modeling to production-ready pipelines and deployments.