
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $224k - $356.5k / year
⏰ Full Time
🟠 Senior
🤝 Developer Relations (DevRel)
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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.
• Establish trusted partner relationships with wireless research community in the public sector. • Lead and implement NVIDIA’s strategic goals in 6G and AI. • Engage with public sector partners and drive the ecosystem to bring groundbreaking innovation on NVIDIA’s platform. • Collaborate with cross-functional teams, including engineering, product management, and NVIDIA’s Govt. relations teams. • Analyze sophisticated challenges in realization of AI-native RAN, develop strategies, and implement solutions.
• Bachelor’s, Master’s, or PhD in relevant field, e.g., Computer Science, Engineering, Applied Mathematics (or equivalent experience). • 12+ years proven experience in Radio Access Network (RAN) architecture, 3GPP standards, and RF system engineering. • Good knowledge of hardware choices for RAN stack, and a vision to evolve the industry to accelerated computing. • Understanding of CUDA, TensorFlow, GPU architecture is a strong plus. • Strong skills in representing the organization at industry bodies, submission of papers and leadership roles.
• equity • benefits
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