Nvidia
Solutions Architect, AI Infrastructure Build Readiness - Enablement
US, CA, Santa Clara · Senior
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
- It's a unique legacy of innovation that's fueled by great technology-and amazing people.
- Today, we're tapping into the unlimited potential of AI to define the next era of computing.
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, under the guidance of senior team members.
- 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.
- 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.
- Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, with a demonstrated interest in building expertise and contributing to technical solutions.
- Demonstrated ability to build collaborative relationships with OEM and deployment partners, with an interest in developing the technical credibility and trust needed to support complex product decisions.
- Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to support partner enablement, technical field engagement, or platform adoption.
Requirements
- What we need to see: Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- Travel required periodically as business demands (10-20%).
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
Benefits
- Doing what's never been done before takes vision, innovation, and the world's best talent.
Company info
- Participate in technical engagements, helping customers troubleshoot issues and learn to navigate NVIDIA's tools, SDKs, and platforms effectively.
- Strong problem-solving skills, intellectual curiosity, and a genuine passion for helping customers succeed with technology.
- Ways to stand out from the crowd: A hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges.
- Early experience supporting customers or partners in adopting new technologies or platforms, with a passion for enabling others to succeed.
- Experience contributing to technical enablement programs, deployment playbooks, or onboarding frameworks that help partners or customers scale new technology platforms.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.