
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.
🕒 June 10
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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.
• Develop a highly optimized inference framework • Work on a groundbreaking open-source library using hardware offloads, GPU kernels, and RDMA network cards • Build low-level infrastructure focused on performance, scalability, and features • Develop products running on large supercomputers and data centers • Collaborate with innovative engineering teams on next-generation products
• B.Sc. or equivalent experience in Computer Science or Software Engineering • 8 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts • Hands-on experience with LLM inference stacks (standout qualification) • Expertise in distributed storage technologies (standout qualification) • Background in Linux internals and low-level software optimizations, including benchmarking, bottleneck research, and performance tuning (standout qualification) • Experience in programming CUDA kernels is an advantage • Background in parallel programming, high-performance computing, or RDMA technology (standout qualification)
• Aggressive compensation plan that rewards top performers • Comprehensive benefits package • Highly competitive salaries
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