2 days ago
Remote, Poland +3 moreSenior
Responsibilities
- Drive the architecture and implementation of LLM-first APIs and documentation structures for CUDA-X math libraries.
- Collaborate with internal and external stakeholders to deliver LLM-enhanced library releases.
- Build metrics, tools, and processes to measure the impact and quality of LLM- and agentic-code generation.
- Prototype tooling and solutions that transform math library APIs into LLM-friendly representations for code-generation tools.
Requirements
- At least 3 years of experience.
- Robust knowledge of LLMs, fine-tuning, reinforcement learning, RAG, MCP, and agent tooling.
- 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.
- A PhD or MSc in Computational Science, Computer Science, Applied Mathematics, or a related science or engineering field is preferred, with equivalent experience accepted.
- Prior work in AI-assisted software engineering, code generation, or programming language design is a preferred qualification.
- Familiarity with CUDA-X math library APIs, including cuBLAS, cuFFT, cuSOLVER, and cuSPARSE, is a preferred qualification.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.