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Nvidia
Senior Libraries Engineer AI And HPC
Remote · Switzerland · Full time · Senior level
About the role
Design, develop, and optimize GPU and CPU accelerated data processing software libraries. Support AI, data analytics, image processing, and scientific simulations worldwide.
What you’ll do
• Develop scalable library software using modern tools and languages. • Performance tuning and benchmarking on various architectures. • Collaborate with leadership and partners on feature requirements. • Provide technical leadership to library engineers. • Improve user experience and library performance.
What you’ll bring
• PhD or MSc in Computational Science or related field preferred. • 5+ years in high-performance parallel numerical applications. • Experience with GPU acceleration using CUDA. • Strong C/C++ programming skills. • Proven leadership in software development projects.
Life at Nvidia
NVIDIA values creativity and autonomy with a diverse and inclusive work environment. Recognized as a top technology employer.
About Nvidia
NVIDIA develops advanced GPU and CPU accelerated computing technologies powering AI, data analytics, and scientific research globally.