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 Deep Learning Hardware Modeling Architect
🕒 June 5
🏄 California, Massachusetts, +1 more states – Remote
💵 $152k - $287.5k / 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
• Drive architectural specifications to closure across multiple stakeholders. • Develop written specifications for key component-level and system-level designs. • Embody specifications in an executable model used by many customers across NVIDIA. • Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism. • Resolve performance and correctness issues across chip and hardware subsystems by working across teams.
🎯 Requirements
• A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience. • Expert programming and software skills in C++. • Experience in RTL design and/or architecture with the ability to understand common chip design concepts. • An automation-centered mindset. • A desire to improve work efficiency using AI.
🏖️ Benefits
• equity • benefits
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