Senior Solutions Architect, AI Infrastructure

🔥 0 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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

• Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. • Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. • Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. • Bring customer-specific requirements to product teams to guide product roadmap features. • Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. • Work closely with the GPU/Network Systems Engineering, Product management and Sales teams • Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions • Build custom product demonstrations and POCs for solutions that address critical business needs of our customers • Analyze and debug compute/network configuration, performance issues to deliver performant clusters

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. • 6+ years of Systems/Solution Engineering (or similar Engineering roles) experience • System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers • Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes • Effective time management and capable of balancing multiple tasks • Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc

🏖️ Benefits

• eligible for equity and benefits