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NVIDIA is seeking a Solutions Architect for Generative AI to help integrate NVIDIA technology into IT infrastructures, focusing on performance at scale. This role involves collaborating with business managers, developers, data scientists, and other teams to create impactful AI solutions. You will work closely with customers and help them adopt NVIDIA’s Generative AI platform for enterprise applications.
Key Responsibilities:
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Lead integration of NVIDIA technology into IT infrastructures for performance at scale.
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Work with business managers to create actionable strategies for customers.
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Enable developers to adopt NVIDIA Generative AI for enterprise applications.
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Articulate business value of Generative and Agentic AI to industry leaders.
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Develop high-value solutions based on end-users’ goals and needs.
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Collaborate with engineering, product, and business teams to build GenAI solutions.
Required Qualifications & Skills:
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MS or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
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5+ years of experience with Deep Learning frameworks such as PyTorch and TensorFlow.
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Expertise in Large Language Models (LLM) training, fine-tuning, and deploying Generative AI.
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Strong passion for accelerated computing and High-Performance Computing (HPC).
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Strong analytical, organizational, and time management skills.
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Excellent communication skills, fluent in both written and spoken English.
Ways to Stand Out:
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Experience with data curation pipeline at scale.
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Experience in applying AI in specific verticals (FSI, Healthcare, Energy).
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Understanding of HPC system architecture and distributed computing.
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Experience with NVIDIA technologies (NVAIE, NeMo, CUDA, NIM, etc.).
What NVIDIA Offers:
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A role at the forefront of AI and High-Performance Computing innovation.
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Competitive salary and extensive benefits package.
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A diverse and inclusive work environment promoting flexibility.
