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Senior Solutions Architect - Enterprise AI
NVIDIA
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Original Job Summary
About the Role
Join NVIDIA as a Senior Solutions Architect - Enterprise AI to support the Enterprise Products team. In this role, you will use your expertise in networking, compute hardware, storage, and cloud-native software to design large-scale datacenter implementations for enterprise-grade AI systems.
Responsibilities
- Own creation of scalable datacenter solutions for enterprise AI/ML systems
- Craft detailed requirements for pioneering infrastructure patterns and datacenter architectures
- Create and validate cluster designs optimized for enterprise facilities
- Collaborate with experts in compute, software, and storage
- Lead multi-disciplinary projects addressing high-level goals and complex challenges
- Engineer on-premises cloud-native solutions integrated with diverse cloud providers
- Drive excellence in compute and hardware architecture
- Utilize multidisciplinary networking expertise including Ethernet, InfiniBand, LAN, WAN, WiFi, and software-defined networks
- Conduct TCO analysis to optimize datacenter efficiency
Qualifications
- Bachelor's degree or equivalent experience
- 8-10+ years hardware or infrastructure architecture experience
- Expertise in cluster and architectural design, advanced networking and cloud-native concepts
- Strong communication skills for technical and non-technical audiences
- Proven leadership in cluster design and network-specific security and remote access technologies
Ways to Stand Out
- Possession of vendor networking certifications (Cisco, Arista ACE, Juniper Networks)
- Experience beyond networking including compute, storage, and platform sizing
- Expertise in Total Cost of Ownership (TCO) analysis for datacenter architectures
Benefits
Competitive salary, equity, and generous benefits package provided by NVIDIA, a leading technology employer known for its brilliant team and innovative environment.
Key Skills/Competency
- Networking
- Datacenter Design
- Cloud-native
- Cluster Architecture
- TCO Analysis
- Compute Hardware
- Storage
- Distributed Systems
- Infrastructure
- Technical Leadership
How to Get Hired at NVIDIA
🎯 Tips for Getting Hired
- Customize your resume: Highlight enterprise datacenter design experience.
- Research NVIDIA: Study their innovations and technical achievements.
- Showcase certifications: Emphasize relevant networking credentials.
- Practice technical interviews: Prepare for system architecture questions.
- Network strategically: Connect with NVIDIA professionals on LinkedIn.
📝 Interview Preparation Advice
Technical Preparation
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Review cluster architecture fundamentals.
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Practice network design problems.
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Study cloud-native and on-prem solutions.
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Understand TCO analysis methodologies.
Behavioral Questions
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Describe a challenging project you led.
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Explain collaboration with multidisciplinary teams.
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Discuss handling tight deadlines and complexities.
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Share experiences resolving technical conflicts.