Solutions Architect, AI Infrastructure

September 30

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+2 more states

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $148k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Work with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments • Guide customer discussions on network topologies, compute/storage, and support bring-up of server/network/cluster deployments • Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications • Conduct regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions • Build custom demonstrations and proofs of concept to address critical business needs • Analyze and debug compute/network performance issues

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience • 5+ years of experience in Solution Engineering or similar roles • System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers • Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling) • Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes • Effective time management and ability to balance multiple tasks • Excellent communication skills for articulating ideas and code clearly through documents and presentations • External customer-facing skills and experience (preferred) • Experience with the bring-up and deployment of large clusters (preferred) • Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers (preferred) • Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, InfiniBand), and/or ARM CPU solutions (preferred) • Familiarity with virtualization technology concepts (preferred)

🏖️ Benefits

• Eligible for equity • Benefits