
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
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.
🔥 1 minute ago
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
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.
• Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms. • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences. • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
• An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • 5+ years of relevant experience in software development or research work. • Programming fluency in C/C++ with a deep understanding of algorithms and software development. • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. • Hands-on experience doing low-level performance optimizations. • In-depth expertise with CPU and GPU architecture fundamentals. • Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.
• NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
Apply Now🕒 4 days ago
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