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Senior Solutions Architect - Data Center Infrastructure
Y-Axis
- United States
- United States
Über
Start Date: Immediate
Expiry Date: 11 Apr 26
356500.0
Posted On: 11 Jan 26
Experience: 10 year(s) or above
Remote Job: Yes
Telecommute: Yes
Sponsor Visa: No
Skills: Solutions Architecture, Technical Program Management, Product Management, System Reliability Engineering, Data Analysis, Problem Solving, Executive Communication, Process Improvement, AI, ML, Performance Tuning, Error Diagnostics, DevOps, MLOps, Docker, Kubernetes
Industry: Computer Hardware Manufacturing
Description Do you feel exited about taking a strategic product from launch to go to market at scale across the world’s largest customers? NVIDIA is searching for a skilled Solutions Architect to drive the collaborative effort of achieving Hyperscalers scale up for our innovative data center offerings. As part of the NVIDIA Solutions Architecture team, you will navigate uncharted waters and gray space to drive successful market adoption by balancing strategic alignment, data-driven analysis, and tactical execution across engineering, product, and sales teams. You will serve as a critical liaison product strategy and large-scale customer deployment.
Lead the end-to-end execution for key Hyperscalers customers to optimally and rapidly go-to-market at scale with NVIDIA data center products (e.g., GB200).
Partner with Hyperscalers Product Customer Lead to understand strategy, define metrics, ensure alignment.
Collect, maintain, and analyze sophisticated data trends to assess the product's market health, identify themes, challenges, and opportunities, and guide the customer to resolution of technical roadblocks.
Navigate complex issues effectively, embodying a productive leader who balances short-term unblocks with long-term process and product improvements.
Deliver concise, direct executive-level updates and regular status communications to multi-functional leadership on priorities, progress, and vital actions.
Integrate insights from deployment challenges and customer feedback into future developments for processes and products through close partnership with Product and Engineering teams.
What we need to see
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ years of combined experience in Solutions Architecture, Technical Program Management, Product Management, System Reliability Engineer or other complex multi-functional roles.
Proven track record to lead and influence without direct authority across technical and business functions.
Proven analytical skills with experience in establishing benchmarks, collecting/analyzing intricate data, and redefining data into strategic themes, action items, and executive summaries.
Skilled in reviewing logs and deployment data, and aiding customers in resolving technical concerns (e.g., identifying performance issues associated with AI/ML and system architecture).
Ways to stand out from the crowd
Lead multi-functional teams and influence interested parties to address challenges in customer datacenter deployments, ensuring cluster health and performance at scale.
Established track record of driving a product from the pilot phase to at-scale deployment in a data center environment.
Hands‑on experience with NVIDIA hardware (e.g., H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics.
Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes, and their relationship to data center deployments.
Confirmed capacity to align, adopt, and disseminate insights among various internal teams (e.g., collaborating with other program leads).
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 14, 2026.
This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.
NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.
Responsibilities
Lead the execution for key Hyperscalers customers to rapidly go-to-market with NVIDIA data center products.
Serve as a liaison between product strategy and large-scale customer deployment.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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