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.
Senior GPU Memory Architect
🕒 February 27
🏄 California, North Carolina, +2 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🏛️ Architect
🦅 H1B Visa Sponsor
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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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