About The Position
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. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you!
Requirements
- 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
Nice To Haves
- Prior work in AI-assisted software engineering, code generation, or programming language design
- Familiarity with CUDA-X math library APIs: cuBLAS, cuFFT, cuSOLVER, cuSPARSE, etc.
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.
Benefits
- You will also be eligible for equity and benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
