We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows.
Description
- Drive the architecture and implementation of math libraries APIs designed to be LLM-first.
- Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
- Build metrics, tools, and processes to measure impact and quality of LLM/agentic code generation.
- Prototype tooling and solutions to transform math libraries’ APIs into LLM-friendly representations.
Requirements
- PhD or MSc in Computational Science, Computer Science, Applied Math, or related field preferred.
- 3+ years of experience.
- Robust knowledge of LLMs, finetuning, RL, and building agenting tooling.
- Proven experience designing clear, composable APIs and writing high-quality, well-documented code.
- Excellent collaboration, communication, and documentation habits.