Summer 2027
Ph.D. Engineering Intern
Posted on 8/19/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$38 - $94/hr
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA
In Person
PhD
 Hardware Engineering (1) |
|---|
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- Must be actively enrolled in a university and 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 the resume or curriculum vitae.
- Depending on the internship, prior experience or knowledge may include C, C++, Python, or CUDA programming.
- Applicants must have a strong background in research with publications at top conferences.
- Applicants must demonstrate communication and collaboration skills.
- Potential internships require research experience in at least one of the following areas: chip-level and system-level architecture; GPU and multi-GPU architecture; scalable memory systems and new memory technologies; scalable on-chip and off-chip interconnects; chip-level and system-level scheduling; power, performance, and energy efficiency in large-scale systems; specialized accelerators for artificial intelligence algorithms, cryptographic algorithms, databases, and similar workloads; hardware-software co-design; systems infrastructure for large language model training and inference; systems and artificial intelligence algorithms co-design; artificial intelligence and machine learning for systems; machine learning for electronic design automation; GPU-accelerated algorithms; languages and programming models for parallel computing; optimizing compilers and artificial intelligence-based performance assistants; distributed runtime systems; systems software and operating-system interfaces; optimizing GPU-accelerated workloads; compilers and code verification; large-scale GPU networking; topologies, routing, and congestion control; networking techniques at the intersection of scale-out and scale-up; GPU-accelerated electronic design automation.
- Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, artificial intelligence systems, and distributed systems that advance computing, graphics, media processing, and related technologies central to NVIDIA’s business.
- Collaborate with other team members, teams, and external researchers.
- Transfer research to product groups to enable new products or types of products.
- Deliver results through prototypes, patents, products, and/or published original research.
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
- Q2 FY2026 revenue reached $46.7 billion, up 56% year over year.
- OpenAI's Ohio campus could generate $150 billion to $200 billion for NVIDIA.
- NVIDIA's $1.5 billion SB Energy deal secures 8 gigawatts of future demand.
What critics are saying
- China blocked H200 shipments in January 2026, cutting a major revenue lane immediately.
- NVIDIA's $105 billion Ohio backstop ties capital to OpenAI lease risk through 2032.
- Google, AWS, and AMD are racing to compress NVIDIA's pricing power by 2027.
What makes NVIDIA unique
- Blackwell Data Center revenue grew 17% sequentially in Q2 FY2026.
- Networking revenue hit $7.3 billion, proving NVIDIA sells full AI systems.
- NVIDIA controls scarce compute, power, and software across training, inference, and networking.
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Growth & Insights and Company News
6 month growth
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↓ -2%2 year growth
↓ -3%International Business Machines Corporation announced a multi-year $240 million agreement with Together AI to deploy NVIDIA HGX B300 systems on IBM Cloud. Days later, IBM joined OpenAI's elite partner tier, embedding frontier models into IBM Consulting Advantage. IBM's second quarter revenue reached $17.2 billion, missing Wall Street estimates and prompting management to trim full-year revenue growth guidance to 4–5%. The company generated $4.8 billion in first-half free cash flow. NVIDIA reported first quarter fiscal 2027 revenue of $81.6 billion, up 85% year-over-year, driven by $75.2 billion in Data Centre revenue. The company maintained a 75% non-GAAP gross margin and generated $48.5 billion in quarterly free cash flow. IBM is positioning itself as an enterprise AI integrator, whilst NVIDIA continues dominating AI hardware infrastructure.
Poolside AI has struck a $6 billion non-exclusive licensing deal with Nvidia, according to a letter to investors obtained by Newcomer. The AI model-building startup also raised $1 billion from Nvidia at a $12 billion pre-money valuation. The dual transaction represents one of the largest deals in the AI sector. Nvidia's licensing agreement gives it access to Poolside's technology, whilst the investment cements a strategic partnership between the two companies. Details about the specific technology being licensed or terms of the agreement were not disclosed. The deal underscores the growing value of AI model developers as large tech companies seek to expand their capabilities.
Nvidia trades at 32.1 times trailing adjusted earnings, a multiple that deters some investors. However, consensus forecasts suggest this drops to 17.1 times by fiscal 2028, representing a 47% reduction without any share price movement. Reaching this valuation requires revenue growth of about 49.1% annually over two years. Management indicated the constraint is capacity rather than demand, having raised total supply commitments to $145 billion and prepaid for expanded US packaging capacity. Blackwell systems are shipping, with supply constraints expected throughout Vera Rubin's production life starting fiscal Q3 2027. Thirty analysts forecast fiscal 2028 earnings ranging from $9.81 to $14.85 per share. The investment case hinges on execution rather than AI debate, with the next test coming August 26 when fiscal Q2 2027 results are reported against $91 billion revenue guidance.
Billionaire investor David Tepper of Appaloosa Management has been adding positions in several "Magnificent Seven" technology stocks, including Amazon, Meta Platforms, Alphabet, and Nvidia. The hedge fund manager, worth an estimated $23.7 billion, simultaneously sold memory stocks during the period. Amazon represents over 15% of Tepper's portfolio. The company's cloud computing unit AWS grew revenue 37% year-over-year in Q2, its fastest growth in four and a half years. Its e-commerce business benefits from investments in robotics and AI, whilst its digital advertising business continues expanding rapidly. Tepper also acquired Meta Platforms shares aggressively. The company trades at a forward price-to-earnings ratio of 16 times 2027 analyst estimates, despite growing revenue 28% in Q2. Meta is beginning to introduce advertisements to its Threads and WhatsApp platforms.
Mark Cuban posted on X that "Chips as an asset class will be the new crypto", a cryptic statement that drew over 1.2 million views within a day. The comment, made on 15 August, offered no specifics on investment vehicles, timelines, or which chips he meant. The statement can be read as either warning or praise. Commentators linked it to two trends: scarcity of AI accelerators and the financialisation of chips through GPU leasing and chip-backed financing. Cuban previously sold 98% of his Bitcoin near $88,000 and has been associated with collapsed projects TITAN and Voyager. His crypto endorsements may serve as cautionary signals. NVIDIA reported Data Centre revenue of $75.25 billion in its latest quarter, up 92% year over year. CoreWeave secured a $2.6 billion GPU-backed loan with a $104 billion backlog, exemplifying the trend towards treating chips as financial assets.