Senior Solutions Architect - Data Center Infrastructure
NVIDIA
Job Overview
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Job Description
About the Role: Senior Solutions Architect - Data Center Infrastructure
Do you feel excited 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 Senior Solutions Architect - Data Center Infrastructure 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 between product strategy and large-scale customer deployment.
What You’ll Be Doing
- 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, and ensure alignment.
- Data-Driven Execution: 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.
- Problem Solving & Navigation: Navigate complex issues effectively, embodying a productive leader who balances short-term unblocks with long-term process and product improvements.
- Executive Communication: Deliver concise, direct executive-level updates and regular status communications to multi-functional leadership on priorities, progress, and vital actions.
- Process Improvement: 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 transforming 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).
Key skills/competency
- Data Center Infrastructure
- Hyperscalers
- Solutions Architecture
- Technical Program Management
- Product Management
- System Reliability Engineering
- Data Analysis
- AI/ML Performance
- DevOps/MLOps
- Kubernetes
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their innovation-driven environment.
- Tailor your resume for Solutions Architect roles: Highlight experience in data center infrastructure, hyperscaler engagement, technical program management, and leadership to align with NVIDIA's specific needs.
- Showcase technical expertise: Emphasize hands-on experience with NVIDIA hardware (H100, GB200), AI/ML performance tuning, and DevOps/MLOps technologies like Kubernetes.
- Prepare for behavioral questions: Demonstrate your ability to lead cross-functional teams, navigate complex issues, and communicate executive-level updates effectively, using STAR method examples.
- Network and engage: Connect with NVIDIA employees on LinkedIn and attend industry events to gain insights and potentially secure referrals for the Senior Solutions Architect - Data Center Infrastructure position.
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