Solutions Architect

NVIDIA is seeking a Solutions Architect to join the AI Infrastructure Build Readiness - Enablement team. In this role, you'll support customer-facing technical engagements and help connect real-world workloads to NVIDIA's hardware and software ecosystem.

Responsibilities:

• Support technical engagements with OEM and deployment partners, helping to understand their workloads and identify how NVIDIA's technology stack can address their needs
• Contribute to the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions
• Engage hands-on with technical topics,building, testing, and validating solutions that help OEM and deployment partners get started with and scale NVIDIA technologies
• Help document and communicate OEM and deployment partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams
• Participate in technical engagements, helping customers troubleshoot issues and learn to navigate NVIDIA's tools, SDKs, and platforms effectively
• Support technical enablement and platform adoption efforts, contributing to onboarding materials, demos, and documentation that help developers and enterprises integrate NVIDIA technologies
• Collaborate with engineering and product teams to understand NVIDIA's solutions and contribute to successful customer deployments
• Support AI Factory build readiness initiatives by contributing to enablement programs, deployment guides, and readiness frameworks that help OEM and deployment partners successfully bring up NVIDIA AI infrastructure

Requirements:

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field
• 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field
• Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems
• Ability to communicate technical concepts clearly to both technical and non-technical audiences
• Strong problem-solving skills, intellectual curiosity, and a genuine passion for helping customers succeed with technology
• Demonstrated ability to build collaborative relationships with OEM and deployment partners
• Experience working with OEM, ODM, system integrator, or deployment partner ecosystems
• Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms
• Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams

Benefits:

• Base salary range: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4
• Equity and benefits