Senior Solutions Architect – Data Center Infrastructure

🕒 July 9

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Logo of NVIDIA

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

• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud built with the latest NVIDIA GPU supercomputers for new and existing customers • Act as a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins • Provide technical and onsite support to solve complex hardware and software problems, with a focus on deep learning inference • Collect, maintain, and analyze complex deployment data and logs to assess product health, identify technical challenges, and guide the customer to resolution of roadblocks • Actively establish and nurture technical relationships with engineers and architects at key customer accounts • Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions • Develop technical solutions including hardware & software demos and example system designs • Offer technical and sales training to direct sales teams and channel partners

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience • 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles • Technical competence to roll up your sleeves, look at logs and deployment data, and guide a customer to the resolution of technical issues • Expert analytical and problem-solving abilities • Capable of excelling in a dynamic, constantly evolving environment • Excellent written and oral communication skills in English, with the ability to collaborate effectively with management and engineering teams • Experience working in a Hyperscaler or Cloud Service Provider (CSP) environment or extensive experience engaging with them as a strategic partner • Hands-on experience with NVIDIA hardware (e.g., ARM CPU, H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics • Established track record of driving a product from the pilot phase to high-volume, at-scale deployment in a data center environment • Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, and UFM • Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.

🏖️ Benefits

• equity • benefits

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