Solutions Architect, AI Infrastructure Build Readiness - Enablement

NVIDIA • Us, CA

3d

About The Position

NVIDIA is seeking a Solutions Architect to join its AI Infrastructure Build Readiness - Enablement team. The role supports customer-facing technical engagements and connects real-world workloads to NVIDIA’s hardware and software ecosystem. The successful candidate will develop expertise in NVIDIA platforms and grow into a trusted technical resource for customers and partners.

The position contributes to AI Factory build readiness by supporting enablement programs, deployment guides, and readiness frameworks that help OEM and deployment partners bring up NVIDIA AI infrastructure. It involves working with senior colleagues, customer and partner teams, and NVIDIA engineering and product groups to support successful deployments and platform adoption. Periodic travel is required, approximately 10–20% as business demands.

Requirements

• Bachelor’s or master’s degree, or equivalent experience, in Computer Science, Engineering, or a related field.
• At least 5 years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field.
• Some hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
• 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 technical and non-technical audiences.
• Strong problem-solving skills, intellectual curiosity, and a genuine passion for helping customers succeed with technology.
• Ability to build collaborative relationships with OEM and deployment partners.
• Experience with OEM, ODM, system integrator, or deployment partner ecosystems supporting partner enablement, technical field engagement, or platform adoption.
• Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
• Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
• Willingness to travel periodically as business demands, approximately 10–20%.

Nice To Haves

• Hands-on technical problem-solving ability and skill in explaining how technology works and applying it to customer challenges.
• Early experience supporting customers or partners in adopting new technologies or platforms, with an interest in enabling others.
• Growth mindset and initiative to develop technical depth quickly, with examples of self-driven learning in AI infrastructure, accelerated computing, or AI Factory deployment.
• Experience contributing to technical enablement programs, deployment playbooks, or onboarding frameworks that help partners or customers scale technology platforms.

Responsibilities

• Support technical engagements with OEM and deployment partners to understand their workloads and identify how NVIDIA technology can address their needs, under the guidance of senior team members.
• Contribute to designing and validating scalable architectures, integration plans, and deployment approaches for customer and partner solutions.
• Build, test, and validate solutions to help OEM and deployment partners get started with and scale NVIDIA technologies.
• Document and communicate partner needs and technical feedback, helping relay field insights to internal product and engineering teams.
• Participate in technical engagements, helping customers troubleshoot issues and navigate NVIDIA tools, SDKs, and platforms.
• Contribute to technical enablement and platform adoption efforts, including onboarding materials, demonstrations, and documentation.
• Collaborate with engineering and product teams to understand NVIDIA solutions and support successful customer deployments.
• Contribute to AI Factory build readiness initiatives, including enablement programs, deployment guides, and readiness frameworks.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level