NVIDIA
Designs GPUs and AI HPC platforms
Computer Vision and Deep Learning Intern
About the job
- Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
- The anticipated graduation date, including month and year, must be clearly indicated on a resume or CV.
- Depending on the internship, programming skills and technologies may include Python, C++, CUDA, and deep learning frameworks such as PyTorch and TensorFlow.
- Strong background in research with publications at top conferences.
- Excellent communication and collaboration skills.
- Potential internships require research experience in at least one of the following areas: 3D Vision and Scene Understanding, Optical Flow/Scene Flow, SLAM, Depth Estimation, Digital Twins, Human-Centric Vision, Human Motion Modeling, Human avatar creation, Physics-Based Clothing/Hair/Body Simulation, Neural Rendering and Generative 3D, Diffusion Models, World Models, Neural Radiance Fields, Novel View Synthesis, 3D Content Creation, Model Architectures and Efficiency, Efficient Deep Learning, Model pruning and compression, Efficient vision transformers, Neural Architecture Search, Multimodal and Vision-Language Models, Synthetic data generation, or Weather and Atmospheric Simulation.
- Design and implement novel computer vision and deep learning methods.
- Collaborate with other team members, teams, and external researchers.
- Transfer research to product groups to enable new products or types of products.
- Deliver prototype results, patents, products, and/or published original research.
- Experience with large-scale model training.
About the company
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
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Simplify's Take
What believers are saying
- September 2026 Australia deals target a 2-gigawatt NVIDIA DSX buildout.
- Palantir partnership deploys Nemotron across NVIDIA supply chains this month.
- Q2 FY27 revenue hit $96.2 billion; Q3 guide reached $108 billion.
What critics are saying
- China’s SAMR probe and French antitrust review threaten 2027 fines.
- Export controls exclude China revenue; loophole crackdowns hit Southeast Asian sales.
- Shareholder litigation over pirated training data threatens reputation and executive distraction.
What makes NVIDIA unique
- CUDA locks developers into NVIDIA’s 2026 software stack.
- DSX bundles chips, networking, software, and power orchestration.
- Blackwell Ultra and Vera Rubin keep NVIDIA ahead in training compute.
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Growth & Insights and Company News
6 month growth
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↓ -2%Einride, the Stockholm-based autonomous freight technology company, announced a partnership with Nvidia to power its next-generation driverless trucks. Nvidia will provide the computing platform and AI tools for Einride's autonomous systems, with both companies jointly developing the next Einride Driver on Nvidia's Hyperion platform. Einride shares jumped roughly 6% in premarket trading following the announcement. The company currently operates hundreds of electric trucks across the US, Europe, and the Middle East, and expects demand to reach 1,500–2,000 vehicles by 2028. Einride reported first-half 2026 revenue of SEK 273 million, up 26% year-over-year. The company posted a net loss of SEK 1.12 billion, driven largely by non-cash charges related to its recent SPAC merger. Management is targeting cash-flow breakeven by 2028.
Nvidia reported Q2 fiscal 2027 revenue of $96.2 billion, up 106% year-over-year, beating consensus by 4.51%. Data Centre revenue alone reached $89 billion, up 117%, with networking up 138%. The company guided Q3 revenue to $108 billion, excluding any China Data Centre compute. Management projects hyperscaler capital expenditure will hit $800 billion in 2026 and $1.3 trillion in 2027, yet Nvidia can only supply roughly 70% of stated demand through fiscal 2028. The chipmaker generated $21.34 billion in free cash flow during the quarter and $96.58 billion across fiscal 2026. It returned approximately $26 billion to shareholders in Q2 through buybacks and dividends. Nvidia maintains a net margin of 55.60%, return on equity of 101.5%, and debt-to-equity ratio of 0.073.
Apple demonstrated four Mac Studios running a trillion-parameter AI model together, showcasing edge computing capabilities that could reduce reliance on cloud infrastructure. Despite this advancement, Nvidia shares rose 0.7% to $229.08, indicating investors see limited threat to its data-centre business. Nvidia generated $89 billion in data-centre revenue from $96.2 billion total sales last quarter, representing 92.5% of overall revenue. The company maintains a GF Score of 95/100 with strong profitability and growth metrics. The key uncertainty is whether local AI processing will become a structural substitute for cloud-based inference or simply add another computing layer. Apple's approach may appeal for data security and cost control in specific workloads, but hyperscale training and unpredictable peak demands continue favouring Nvidia's cloud infrastructure solutions.
Nvidia CEO Jensen Huang said he would view paying billions in additional taxes as a "privilege" if California voters approve a proposed one-time levy on the state's wealthiest residents this autumn. The measure would impose a 5% tax on Californians with net worth exceeding $1 billion. With his fortune estimated at $184 billion, Huang could face an $8 billion tax bill over five years. "The fact that I can afford to pay $8 billion in taxes over five years is a privilege," Huang told CBS News. "Nothing would give me more joy than to be able to pay even more taxes." He added: "I'm not afraid of paying taxes — I'm just afraid of being poor." Huang co-founded Nvidia in 1993 and has served as CEO since. He owns roughly 4% of the company, which surpassed $5 trillion in market value in 2025.
A San Francisco-based startup called Firebird has launched a data centre in Armenia featuring over 70,000 Nvidia chips, positioned to become one of Europe's largest computing clusters by year-end. The facility, located in Hrazdan near the capital Yerevan, will reach 300 megawatts capacity with a fifth reserved for domestic use and the remainder for foreign firms including Perplexity AI. The project played a role in securing a US-brokered peace treaty between Armenia and Azerbaijan. President Trump's team promised permission for Nvidia exports to advance conversations with Armenia, according to people involved in the talks. The development demonstrates Armenia's effort to establish itself as a regional tech hub, building on its Soviet-era electronics heritage. Firebird, whose founders are of Armenian descent, is already expanding into neighbouring Central Asia.