Senior Libraries Engineer – AI, HPC

🕒 Yesterday

🌐 Switzerland, United Kingdom – Remote

🇨🇭 Switzerland – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

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 numerical methods • Tune performance, optimize, and benchmark algorithms on various architectures • Work with leadership and internal and external partners to understand feature and performance requirements • Contribute to technical roadmaps of libraries • Provide technical leadership and guidance to library engineers • Identify opportunities to improve user experience and library performance

🎯 Requirements

• PhD or MSc degree in Computational Science, Computer Science, Applied Math, or related science or engineering field preferred, or equivalent experience • 5+ years of experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms • GPU acceleration using CUDA • C/C++ programming and software development skills • Proven experience leading and completing software development projects • Strong collaboration, communication, and documentation habits • Good knowledge of CPU and/or GPU hardware architecture • Experience with CI/CD systems • Experience with project management tools such as JIRA • Experience working in a distributed organization • Debugging, profiling, and testing skills for accuracy and performance • Fluency with Python

🏖️ Benefits

• Equal opportunity employment and commitment to a diverse work environment