About the role
Do you flourish with taking a strategic product from launch to go to market at scale across the world’s largest customers? NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect to join our team, focused on the technical execution across engineering, product, and sales teams and support to achieve Hyperscaler-scale deployment for our groundbreaking data center products. This role requires a strong passion for system design and a successful history of engaging with customers on a deep technical level, preferably with direct datacenter knowledge and experience debugging datacenter platforms. You will serve as a critical bridge between product strategy and large-scale customer deployment.
What you’ll be doing:
* 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 cultivate technical relationships with engineers and architects at key customer accounts.
* Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently 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.
What we need to see:
* BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
* 4+ 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
* Experienced in 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.
Ways to stand out from the crowd:
* 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.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.