Senior Solutions Architect, AI Cloud Services

🔥 0 minutes ago

🏄 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

🤖 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

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s software and hardware technologies • Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms • Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions • Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience • 4+ years of Solutions Engineering or similar Sales Engineering experience • Established 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, data center deployments, etc. • Effective time management and capable of balancing multiple tasks • Ability to communicate ideas clearly through documents, presentations, etc.

🏖️ Benefits

• Equity • Comprehensive health benefits • Remote work options • Professional development opportunities