1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Drive the architecture and implementation of LLM-first math library APIs and documentation structures.
- 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 agent-generated code.
- Prototype tooling that transforms math library APIs into LLM-friendly representations for code-generation tools.
Requirements
- At least 3 years of experience.
- Strong 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.
- Strong collaboration, communication, and documentation skills.
- A PhD or MSc in computational science, computer science, applied mathematics, or a related science or engineering field is preferred, or equivalent experience.
- Preferred experience in AI-assisted software engineering, code generation, programming language design, or CUDA-X math library APIs such as cuBLAS, cuFFT, cuSOLVER, and cuSPARSE.
Benefits
- Eligible for equity and benefits.
- Hybrid work arrangement.
- Applications are accepted at least until September 19, 2026.
- This posting is for an existing vacancy.
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.