Summer 2026
Product Management Intern
Accelerated Computing GPU
Posted on 3/21/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$27 - $82/hr
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA
In Person
 Product (1) |
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- Pursuing an MBA (graduating in December 2026 or spring 2027)
- Comfort with using Microsoft Excel including formulae such as index-matching and creating pivot tables
- Experience in Python to process data and automate repetitive tasks
- Knowledge and experience with GPUs, especially for data science, machine learning, or artificial intelligence applications
- Understanding of GenAI, especially training and inference on large language models
- Help articulate the value proposition of our products quantitatively through performance metrics
- Work with marketing experts to highlight key advancements and advantages of our upcoming products
- Analyze total cost of operation estimates for our products from analyst reports and other publications and compare them against our own
- Synthesize customer feedback on our upcoming products and provide actionable and tactical next steps to better elucidate the value proposition of our products
- Deep knowledge of the architecture of large language models, including nuances of Pareto curves for inference, model parallelism strategies, etc.
- Deep understanding of the interrelationships between LLM architecture and GPU / system architecture
- Strong experience in developing ETL pipelines for data processing, data analytics
- 3+ years of experience in developing / deploying GenAI applications and/or experience in semiconductor industry / high-performance computing
- Previous experience working in or closely with a Product Management team
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- AI data-center revenue dominates and keeps scaling with hyperscaler spending.[1][7]
- Robotics benchmarks like DexBench can extend NVIDIA’s Isaac ecosystem into physical AI.
- Enterprise channels like Deloitte Adopt 100 expand NVIDIA software adoption beyond hardware sales.
- CPU products like Vera and RTX Spark broaden NVIDIA’s platform into new compute layers.
What critics are saying
- AMD, Intel, and custom ASICs pressure NVIDIA’s accelerator pricing and share.
- Export controls restrict advanced chips in China, limiting access to a major market.[2][5]
- HBM supply concentration, especially SK Hynix, creates a critical shipment bottleneck.
What makes NVIDIA unique
- CUDA creates developer lock-in across AI, HPC, and robotics.[1][2]
- NVIDIA sells full-stack systems, software, and networking, not only chips.[1][2]
- Blackwell and H200 target hyperscale AI infrastructure with one-year product cadence.[1][2]
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Growth & Insights and Company News
6 month growth
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↓ -3%Mistral AI has raised €1.7 billion in a Series C funding round at an €11.7 billion post-money valuation. The round was led by semiconductor equipment manufacturer ASML Holding, with participation from existing investors including DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed and NVIDIA. The Paris-based AI company will use the funding to advance its scientific research and develop custom decentralised frontier AI solutions for complex engineering and industrial problems. ASML CEO Christophe Fouquet said the partnership aims to generate benefits for ASML customers through AI-enabled products and solutions. Mistral AI CEO Arthur Mensch stated the investment will help address engineering challenges in the semiconductor and AI value chain whilst maintaining the company's independence.
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Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.
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