We’re hiring a Senior Solutions Architect to drive technical engagement with NVIDIA partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise solutions. 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 NVIDIA integration partners, select OEMs, and key end customers, defining technical direction, integration milestones, and deployment plans. Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success. Identify gaps between customer and 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. Become an authority who builds and shares knowledge and infrastructure insights for NVIDIA platforms. Act as a resource to help tailor on-premises solutions to specific environments and workloads while balancing risk, performance, and supportability needs. This role is for those who thrive by gaining real experience and using that to help accelerate others. Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
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