Senior Math Libraries Engineer - LLM Integration and Developer Experience
NVIDIA· Engineer, Tech SW
Hybrid (US, CA, Santa Clara; US, TX, Remote; US, NY, Remote; US, WA, Remote; US, CA, Remote; US, MA, Remote)$152k - $287.5kFull-timePosted 1mo ago
About the role
Senior engineer focused on accelerating integration of CUDA-X math library APIs into modern LLM and agentic AI workflows, designing LLM-first APIs, and improving developer experience and tooling.
Responsibilities
- Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents.
- 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 help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools.
Qualifications
- PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience)
- 3+ years of experience
- Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling
- Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains
- Ability to prioritize multiple projects and work independently with minimal direction
- Excellent collaboration, communication, and documentation habits
Skills
Required:API designLLM/Agent toolingDeveloper experience tooling
Benefits
- equity
- benefits (NVIDIA benefits)
Last updated Sep 18, 2026. Interested? Apply on the company site.
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