Senior Math Libraries Engineer – LLM Integration, Developer Experience

🔥 1 hour ago

🌐 Poland, Switzerland, +2 more countries – Remote

🇵🇱 Poland – Remote 🇨🇭 Switzerland – Remote 🇫🇮 Finland – Remote 🇫🇷 France – Remote

💵 zł221.3k - zł507k / year

⏰ Full Time

🟠 Senior

🤝 Developer Relations (DevRel)

👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

🎯 Requirements

• 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 • Familiarity with CUDA-X math library APIs: cuBLAS, cuFFT, cuSOLVER, cuSPARSE, etc. (preferred/stand-out) • 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)