Spring 2026
Machine Learning Intern
Posted on 11/23/2025
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
No salary listed
Company Historically Provides H1B Sponsorship
Houston, TX, USA
In Person
 AI & Machine Learning (2) |
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People at NVIDIA
People at NVIDIA who can refer or advise you
- Pursuing BS, MS or PhD in Computer Science, Data Science, Mathematics, or a related field.
- Experience with machine learning and / or deep learning
- Excellent oral and written communication skills in English.
- Familiar with Linux OS environment
- Python Programming
- Keeping track of the latest developments in NVIDIA technology and build demos for regional colleagues outreached activities.
- Assist the team engaging AI community and collaborator through Accelerated AI workshop.
- Develop demonstration using NVIDIA SDKs e.g., RIVA, Merlin, NeMo, TensorRT, Maxine, Triton Inference Server, etc
- Algorithmic development and experimentation on machine learning project
- AI Software development
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
People at NVIDIA
People at NVIDIA who can refer or advise you
Simplify's Take
What believers are saying
- Developers can standardize data collection and share metrics across a unified ecosystem for faster humanoid robot deployment.
- Enterprise adoption grows with Abridge, Amdocs, and Box embedding NVIDIA-powered agents into their platforms.
- Nemotron 3 Ultra cuts inference costs by 10x versus closed models while matching top-tier business-task performance.
What critics are saying
- DeepSeek's DSpark module improves AI rendering speed by 85% without new hardware, threatening NVIDIA's cost-per-performance moat within 12 months.
- DeepSeek engineers coded inference models independently of CUDA, directly undermining NVIDIA's software dominance in AI development within 15 months.
- NVIDIA's Vera CPU faces execution risk in the crowded Intel/AMD-dominated market, potentially failing to hit $20B sales by fiscal year end.
What makes NVIDIA unique
- NVIDIA integrates Isaac GR00T 1.7 and Isaac Teleop into Hugging Face's LeRobot 0.6 for end-to-end humanoid training.
- Isaac GR00T N1.7 is commercially licensable under Apache 2.0 with improved generalization from 20K hours of human video data.
- NVIDIA will add Cosmos 3, its physical AI world model, to LeRobot to support robotics where real data is scarce.
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Benefits
Company Equity
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Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -1%2 year growth
↓ -1%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.
With funding led by Radical Ventures, Decart is building the infrastructure layer for the next generation of low-latency AI systems, through three product lines: DOS, an ultra-optimized inference and training stack that enables agents and reasoning models to run smarter and faster; and the models Lucy, its World Model for Immersive Experiences; and Oasis, its World Model for Physical AI – both powered by DOS. Today, we’re also announcing DOS 2.0, with new versions of Lucy and Oasis launching in the coming weeks.
Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.
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.