
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.
🕒 June 2
🌵 Arizona, California, +3 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🏛️ Architect
🦅 H1B Visa Sponsor
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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.
• Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features. • Build functional and performance models to refine and verify hardware designs. • Create test plans to validate the features you design and contribute to their implementation. • Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack.
• Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience. • 3+ years of relevant computer architecture, ASIC design/verification, or software development experience. • Strong programming skills in C++ (or similar) and Python (or similar). • Solid foundation in computer architecture and hardware performance analysis. • Experience with performance modeling and hardware simulation, ideally using SystemC. • Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team.
• equity • benefits
Apply Now🕒 June 2
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