Senior Solutions Architect - Data Center Infrastructure
About The Position
NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect to support the technical execution of data center products across engineering, product, and sales teams, helping achieve Hyperscaler-scale deployment. The role serves as a bridge between product strategy and large-scale customer deployment, focusing on system design and deep technical customer engagement, preferably with direct data center knowledge and experience debugging data center platforms. The position involves architecting high-performance distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers, supporting customers and sales teams, resolving complex hardware and software issues, and helping customers deploy NVIDIA solutions at scale. The role also involves developing technical solutions and demos, analyzing deployment data, building customer relationships, identifying market requirements, and delivering technical and sales training.
Requirements
- BS, MS, PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field, 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 review logs and deployment data and guide customers toward resolution of technical issues.
- Expert analytical and problem-solving abilities.
- Ability to excel 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, including understanding of performance tuning and error diagnostics.
- A track record of driving a product from 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 operating systems.
Responsibilities
- Architect and scale high-performance, distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers for new and existing customers.
- Serve as a technical specialist on GPU and networking products, supporting sales account managers in securing design wins.
- Provide technical and onsite support to resolve complex hardware and software problems, with a focus on deep learning inference.
- Collect, maintain, and analyze deployment data and logs to assess product health, identify technical challenges, and help customers resolve roadblocks.
- 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 implement NVIDIA solutions.
- Develop technical solutions, including hardware and software demos and example system designs.
- Provide technical and sales training to direct sales teams and channel partners.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
