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 deployment configurations.

• Crafting proof-of-concept workflows rooted in first principles that apply modern data science techniques to genAI use cases.

• Assisting in hardening of existing workflows to incorporating tracing, metrics, and benchmarking.

• Working with data scientists and ML/DL engineers to move from proof-of-concept analysis and modeling to production-ready pipelines and deployments.

What we need to see:

• Pursuing a BS, MS, or PhD in computer science, data science, computer engineering, or other closely related field

• Python development experience and Python data science experience

• Ability to quickly shift to innovative approaches, techniques, and implementations

• Deep desire to solve complex engineering challenges with efficiency as a priority

• Ability to work as part of a distributed engineering team

Ways to stand out from the crowd:

• Experience with generative AI, LLM agents and LLM frameworks (such as LangChain, CrewAI, or AutoGen)

• Displayed ability to prototype new capabilities and functionality and bring those into a production-ready environment

• Implemented projects that incorporate LLMs or generative AI

• Experience with open source software development, either creating new open source software or contributing to an existing project

• Knowledge of GPU-based compute, including CUDA and RAPIDS

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!