Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you! What you’ll be doing: Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries. Providing technical leadership and guidance to library engineers working with you. Find opportunities to improve user experience and library performance. What we need to see: 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). 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA. C/C++ programming and software development skills. Proven experience in leading and completing software development projects. Strong collaboration, communicati
Senior Math Libraries Engineer - LLM Integration and Developer Experience
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Role overview
Job description
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!
What You'll Be Doing:
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.
What We Need To See:
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
Ways To Stand Out From The Crowd:
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.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.What they are looking for
Skills & requirements
Qualification
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; What You'll Be Doing: 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
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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