Accelerated Computing GPU Product Manager
Nvidia
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This listing doesn't post a salary. Most similar roles pay $114,400–$232,475.
Based on 240 similar postings.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 1391 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.
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As a Product Management MBA Intern, Data Center GPU, you will join the Local AI and Data Center Product Management team to define and market AI systems for enterprise customers and cloud service providers. Your daily responsibilities involve researching emerging markets and use cases for GPU deployments across various industry verticals, including healthcare and autonomous vehicles. You will analyze market segmentation, sizing, solution stacks, and key players while evaluating specific customer system configurations. Additionally, you will build pricing models and conduct value analyses to support the product portfolio. The role requires a background in math, science, or engineering, along with experience in market research, quantitative modeling, and pricing strategy. You should be comfortable working with large data sets and proficient with AI tools while solving complex market modeling problems related to accelerated computing and GPU technologies.
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