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NVIDIA is seeking an Applied AI Innovation Engineer to develop innovative AI solutions. You will evaluate NVIDIA AI capabilities against real-world use cases, collaborate with technical and business teams, and provide recommendations to shape the Sales AI Applications roadmap.

Responsibilities:

  • Collaborate with Solution Architects, Sales, Product, Engineering, and Data teams to understand use cases and explore potential AI solutions.
  • Develop and test prototypes demonstrating how NVIDIA AI capabilities can improve business and user workflows.
  • Establish evaluation criteria, quality metrics, success measures, and test plans for proofs of concept and pilots.
  • Perform detailed analyses of technical performance, user experience, adoption potential, and business value.
  • Use quantitative data, user feedback, and technical findings to identify opportunities, limitations, tradeoffs, and risks.
  • Document findings and communicate recommendations clearly to technical and non-technical team members.
  • Provide evidence-based recommendations aligned with business priorities and translate evaluation patterns into roadmap insights.
  • Explore generative AI, agentic workflows, retrieval systems, and other NVIDIA technologies that could support use cases.

Requirements:

  • Bachelor's degree or equivalent experience in Computer Science, Engineering, Data Science, or a related technical field.
  • 2+ years of experience in software engineering, AI or machine learning engineering, solutions engineering, data engineering, technical consulting, or a related area.
  • Experience building, testing, or evaluating AI, machine learning, or software prototypes.
  • Familiarity with generative AI, APIs, cloud platforms, data workflows, and modern application development.
  • Experience using data, experiments, testing, or user feedback to evaluate technical solutions and make recommendations.
  • Analytical and problem-solving approach to assessing solutions, comparing tradeoffs, and making evidence-based recommendations.
  • Ability to translate business problems into technical approaches and communicate with technical and non-technical audiences.
  • Ability to collaborate across teams and organize multiple evaluation efforts with different priorities.

Benefits:

  • Equity
  • Benefits

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