NVIDIA
Artificial Intelligence • Gaming • Automotive
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.
Software Engineering Intern, CUDA Core Libraries
Job not on LinkedIn
Yesterday
NVIDIA
Artificial Intelligence • Gaming • Automotive
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.
đź“‹ Description
• Contribute to the design and implementation of CUDA Core Libraries in C++ and/or Python • Design and optimize GPU algorithms and APIs • Improve developer experience: tests, benchmarks, CI, packaging, documentation, and examples • Collaborate with experienced CUDA engineers; participate in design reviews and code reviews
🎯 Requirements
• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related field • Strong programming skills in C++, Python, or both • Familiarity with modern C++ (templates, generics, standard library) and/or Python library development and packaging • Experience with parallel programming (CUDA, OpenMP, or similar) • Clear written communication
🏖️ Benefits
• Opportunity to work on innovative AI and visual computing projects • Collaboration with experienced engineers • Training and mentorship from industry leaders
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