Senior Solutions Architect, AI Infrastructure Build Readiness - Execution

NVIDIA • Us, CA

7d • $184,000 - $287,500

About The Position

NVIDIA is seeking a Senior Solutions Architect for its AI Infrastructure Build Readiness - Execution team. The role drives technical engagement with OEM and deployment partners, connecting real-world customer workloads to NVIDIA’s hardware and software ecosystem to help developers and enterprises adopt and scale NVIDIA platforms. The architect serves as a trusted technical advisor, translates complex challenges into solutions, and supports customers and partners as they deploy advanced platforms.

The position includes co-designing scalable architectures with partners, providing hands-on technical design and validation, leading customer engagements and issue resolution, and sharing partner needs with NVIDIA product and engineering teams. It also leads AI Factory build execution engagements, advancing technical readiness, deployment validation, and issue resolution across AI infrastructure build-outs. Travel of up to 50% is required for field engagements, partner sites, and deployment activities.

The base salary range is $184,000–$287,500, depending on location, experience, and compensation for employees in similar positions. The role is also eligible for equity and benefits. Applications will be accepted at least until October 16, 2026. This posting is for an existing vacancy.

Requirements

• Bachelor’s or master’s degree, or equivalent experience, in Computer Science, Engineering, or a related field.
• 8+ years of professional experience spanning software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
• 3–5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems.
• Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, including a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
• Ability to communicate complex technical ideas clearly to technical and non-technical audiences, including engineers and C-level executives.
• Strong problem-solving skills, intellectual curiosity, and commitment to helping customers succeed.
• Ability to balance empathy for OEM and deployment partner needs with driving complex product decisions through trusted relationships.
• Experience with OEM, ODM, system integrator, or deployment partner ecosystems, including technical field engagement, partner enablement, or platform adoption at scale.
• Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms, and a track record of driving integrations in large-scale deployment environments.
• Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
• Travel up to 50% to support field engagements, partner sites, and deployment activities.

Nice To Haves

• Hands-on technical expertise and problem-solving ability, with the ability to describe solution paths for complex challenges.
• History of enabling customers or partners to adopt NVIDIA technologies and platforms successfully.
• Technical vision that influences product and engineering decisions and drives production outcomes.
• Experience with AI Factory, accelerated computing, rack-scale AI infrastructure, or large-scale GPU system deployments.
• Experience contributing to deployment playbooks, execution frameworks, or readiness programs for large-scale AI infrastructure build-outs.

Responsibilities

• Serve as a trusted advisor by understanding complex or large-scale customer workloads and mapping them to NVIDIA technology to achieve measurable outcomes.
• Co-design advanced, scalable architectures with OEM and deployment partners, defining technical direction, integration milestones, and deployment plans.
• Design, validate, and support hands-on technical solutions for customer and partner success.
• Identify gaps between partner needs and NVIDIA offerings, and communicate insights that inform product and engineering priorities.
• Lead technical engagements, troubleshoot and resolve complex issues, and advocate for customers’ technical needs.
• Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
• Partner with engineering and product teams to ensure successful deployments and continuous improvement of NVIDIA solutions.
• Lead AI Factory build execution engagements with OEM and deployment partners, driving technical readiness, deployment validation, and issue resolution across AI infrastructure build-outs.

Benefits

• Equity
• Benefits

What This Job Offers

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