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# Solutions Architect

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Software Debugging, PCI Express, Performance Tuning, Cloud Services, Systems Architecture, Performance Testing, Information Technology, Hardware Infrastructure
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2002548

## About the Role

US, CA, Santa Clara Full time JR2002548 We are seeking driven, high- energy, engineers to join the Solutions Architecture team in building Artificial Intelligence (AI) solutions with the world's largest customers . This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement and optimize AI/ML and HPC software and system solutions at hyper scale . What you'll be doing: + Develop and demonstrate AI software and hardware solutions with Hyperscalers + Build customers' trust and understand their unique needs + Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution + Partner with Sales or Developer Relations and Product team to identify and secure business opportunities for NVIDIA products and solutions. + Conduct technical meetings for project/product details, feature discussions, and debugging sessions + Develop Proof of Concept (PoC)
solutions for critical business needs + Prepare and deliver technical presentations and workshops to customers + Address and optimize customer AI systems performance issues What we need to see: + BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience) + 5+ years of Solutions Engineering or similar experience in AI-related fields + Passion for enhancing customer experience + Proficiency in AI, ML and HPC applications + Comprehensive knowledge of computer system architecture including PCIe, networking, etc and their impact on AI application performance + Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems + Ability to work independently and manage multiple priorities + Excellent communication skills to act as a trusted advisor to customers Ways to stand out from the crowd: + Unique combination of strong interpersonal skills
and technical proficiency + In-depth knowledge and hands-on experience with ML/DL/AI including performance testing + Background with NVIDIA hardware and software along with p ractical Experience with GPU systems + Experience working with or calling on Cloud Service Providers (e.g., Meta) + Highlight external customer-facing skills and experience We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events.