Senior Solutions Architect, AI Infrastructure Build Readiness - Execution

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. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. NVIDIA is seeking a Senior Solutions Architect to drive technical engagement with OEM and deployment partners across the AI Infrastructure Build Readiness - Execution team. In this role, you'll connect real-world customer workloads to NVIDIA's hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We're looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you're excited about applied technology and enabling others to succeed with advanced platforms, we'd love to hear from you.
Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA's technology stack to achieve measurable outcomes.
Co-design advanced, scalable architectures with OEM and deployment partners, defining technical direction, integration milestones, and deployment plans.
Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success.
Identify gaps between OEM and deployment partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
Partner cross-functionally with engineering and product teams to ensure successful deployment 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 NVIDIA AI infrastructure build-outs.
Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
~8+ years of professional experience spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 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, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
~ Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed.
~ A track record of balancing empathy for OEM and deployment partner needs with the ability to drive complex product decisions through trusted relationships.
~ Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to drive technical field engagement, partner enablement, or platform adoption at scale.
~ Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms, with 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 required (up to 50%) to support field engagements, partner sites, and deployment activities.

History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
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.
If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 16, 2026. NVIDIA uses AI tools in its recruiting processes.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.