
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.
🔥 7 minutes ago
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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.
• Serve as a senior technical authority and trusted consultant on NVIDIA technologies. • Establish and refine monitoring and optimization methodologies. • Lead and advise on the analysis, optimization, and performance tuning of complex GPU-accelerated systems. • Facilitate post-deployment reviews, incident retrospectives, and strategy sessions. • Own and lead complex technical projects end-to-end. • Support business growth by identifying AI infrastructure opportunities.
• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. • 10+ years of professional experience in large-scale data center service operations with a focus on infrastructure. • Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure. • Track record of building long-term customer relationships and driving adoption through consultative engagement. • Strong analytical and decision-making capabilities. • Expertise in end-to-end data center architecture. • Good communication, time management, and organizational skills.
• Willingness to travel up to 25% for customer engagements.
Apply Now🕒 May 14
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