Senior Libraries Engineer – AI, HPC

🕒 November 4, 2025

🌐 Poland, Spain, +3 more countries – Remote

🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇨🇭 Switzerland – Remote 🇩🇪 Germany – Remote 🇭🇺 Hungary – Remote

💵 zł221.3k - zł507k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Develop scalable library software using modern tools and languages for various numerical method • Tune performance, optimize, and benchmark algorithms on various architectures • Work closely with leadership team and internal and external partners to understand feature and performance requirements and contribute to technical roadmaps of libraries • Provide technical leadership and guidance to library engineers • Identify opportunities to improve user experience and library performance • Design, develop, and optimize pioneering algorithms for GPU- and CPU-accelerated data processing software libraries

🎯 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) • 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, communication, and documentation habits • Good knowledge of CPU and/or GPU hardware architecture • Experience with software development practices such as CI/CD systems and project management tools such as JIRA • Experience with working in a distributed organization • Debugging, profiling, and testing skills for accuracy and performance • Fluency with Python