Architect Jobs

About The Position

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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• equity
• benefits