Senior Solutions Architect, AI Cloud Services

🕒 August 6

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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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

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA software and hardware technologies • Build and deploy solutions at scale using NVIDIA AI software on cloud-based GPU platforms • Build custom proofs of concept addressing customers’ critical business needs with NVIDIA technologies • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities • Conduct technical customer meetings covering project and product details, feature discussions, new technologies, and debugging • Prepare and deliver technical customer content, including presentations and workshops • Serve as the first line of technical expertise between NVIDIA and customers • Engage developers, researchers, and data scientists • Work closely with business and engineering on product strategy • Drive end-to-end technology solutions incorporating NVIDIA’s full technology stack

🎯 Requirements

• BS, MS, PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience • 4+ years of Solutions Engineering or similar Sales Engineering experience • Track record of deploying AI/ML solutions in cloud environments, including AWS, GCP, Azure, or OCI • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data center deployments • Effective time management and ability to balance multiple tasks • Ability to communicate ideas clearly through documents and presentations • AWS, GCP, Azure, or OCI Professional Solutions Architect certification is a preferred differentiator • Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, Triton, and TensorRT-LLM is preferred • Deep understanding of the software development lifecycle, system design, architectural patterns, and comprehensive testing is preferred • Solid working knowledge of Python is preferred • System-level experience with GPU-based systems is preferred • Occasional travel required for local customer visits and industry events

🏖️ Benefits

• Equity • Benefits • Remote work locations • Occasional travel for local on-site visits to customers and industry events