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Nvidia Technical Marketing Manager - HPC Simulation 
United States, California 
736296926

Yesterday
US, CA, Santa Clara
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

What you will be doing:

  • Develop and implement data-driven marketing strategies to support product launches and ongoing campaigns

  • Drive the collection and presentation of HPC simulation and AI for scientific data relevant to those communities

  • Build comprehensive figures, reports, and visually appealing presentations to communicate complex data insights to collaborators

  • Collaborate with cross-functional teams to ingest and present data on relevant topics

  • Work with our sales organization to develop effective sales collateral and tools

  • Conduct in-depth market research and competitive analysis using advanced data analytics techniques

What we need to see:

  • Bachelor's degree in Engineering or Scientific Field (or equivalent experience)

  • 5+ years of experience in technical marketing or a similar role with a strong focus on data analysis

  • Experience in high performance computing for engineering or scientific use cases

  • Expert-level proficiency in Microsoft Excel, including advanced functions, pivot tables, and data visualization techniques

  • Working knowledge of at least one programming language (e.g., Python, Perl, or shell scripting) for data manipulation

  • Experience with data visualization tools beyond Excel (e.g., Tableau, Grafana, MatPlotLib)

  • Strong analytical and problem-solving skills with attention to detail

  • Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner

  • Strong desire to learn, motivated to tackle complex problems, and the ability to make sophisticated trade-offs

Ways to stand out from the crowd:

  • Strong background in high performance computing with specialization in engineering, life sciences, physics, optimization, material science, or related fields

  • Understanding of statistical analysis and machine learning techniques

  • Knowledge of accelerated computing components, properties, strengths, and weaknesses

You will also be eligible for equity and .