NVIDIA
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.
Senior Solutions Architect – Agentic AI
🕒 Yesterday
🏄 California – Remote
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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NVIDIA
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
• Lead technical delivery for strategic Agentic AI partner engagements • Design and build enterprise-grade agentic systems • Lead deep architecture reviews with partner engineering teams • Build hands-on PoCs, benchmarks, reference architectures • Guide partners on model customization and post-training workflows
🎯 Requirements
• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience • 8+ years of engineering, solutions architecture, applied ML, or technical deployment experience • Strong programming and debugging skills in Python and Linux environments • Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production • Deep understanding of agentic AI architectures
🏖️ Benefits
• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities • Stock options
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