Senior Solutions Architect, AI Infrastructure Build Readiness

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Act as a reliable advisor for intricate or large-scale customer workloads, aligning them with NVIDIA's technology stack.

• Collaborate in designing scalable architectures alongside OEM and deployment partners.

• Establish technical direction, integration milestones, and deployment strategies.

• Create, validate, and support solutions to ensure customer and partner success.

• Identify discrepancies between partner requirements and NVIDIA's offerings.

• Convey insights that influence internal product and engineering priorities.

• Lead technical interactions and resolve complex issues.

• Promote technical enablement and encourage platform adoption.

• Assist developers and enterprises in integrating NVIDIA SDKs, frameworks, and systems.

• Collaborate with engineering and product teams for successful deployment and ongoing improvements.

• Direct AI Factory build execution engagements, ensuring technical readiness, deployment validation, and issue resolution.

⛳️ Requirements

• Bachelor’s or Master’s degree, or equivalent experience in Computer Science, Engineering, or a related discipline.

• Over 8 years of professional experience in software/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 extensive AI/HPC systems.

• In-depth technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems.

• Proven history of driving product integrations and contributing to software and hardware platforms, systems, and libraries.

• Capability to articulate complex technical concepts clearly to both technical and non-technical audiences.

• Strong problem-solving abilities, intellectual curiosity, and a dedication to ensuring customer success.

• Experience collaborating with OEM, ODM, system integrators, or deployment partner ecosystems.

• Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.

• Background in working with services, field engineering, professional services, manufacturing partners, or deployment services teams.

• Willingness to travel up to 50%.

🏝️ Benefits

• Equity

• Benefits