Senior GPU Memory Architect

🕒 February 27

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Logo of NVIDIA

NVIDIA

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.

📋 Description

• Develop innovative high-performance processor and system architectures • Develop architecture and micro-architecture features to improve GPU memory systems • Participate in performance and power simulation of features to analyze energy per byte • Analyze benchmarks, application workloads, and performance/power simulation results • Debug power, performance, and functional issues with high-level models • Collaborate with outside partners on system infrastructure

🎯 Requirements

• 10+ yrs of experience in CPU/GPU architecture • memory systems design with a focus on energy efficiency • Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience) • Expertise in power analysis and modeling in pipeline-based architectures • Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX • Experience with C, C++, and some scripting languages

🏖️ Benefits

• equity • benefits

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