Senior Solutions Architect, AI Infrastructure Build Readiness

🕒 4 days ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as a trusted advisor on complex or large-scale customer workloads and map them to NVIDIA's technology stack • Co-design scalable architectures with OEM and deployment partners • Define technical direction, integration milestones, and deployment plans • Design, validate, and support solutions for customer and partner success • Identify gaps between partner needs and NVIDIA offerings • Communicate insights that shape internal product and engineering priorities • Lead technical engagements and troubleshoot complex issues • Drive technical enablement and platform adoption • Help developers and enterprises integrate NVIDIA SDKs, frameworks, and systems • Partner with engineering and product teams on successful deployment and continuous improvement • Lead AI Factory build execution engagements, technical readiness, deployment validation, and issue resolution

🎯 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/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 • 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 • Strong problem-solving skills, intellectual curiosity, and commitment to helping customers succeed • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams • Travel required up to 50%

🏖️ Benefits

• Equity • Benefits