The application period for the 2019 NVIDIA AI Research Residency Program is now closed. 


The NVIDIA AI Research Residency Program is a 12-month program within NVIDIA Research that is intended for PhDs in fields adjacent to AI in order to gain and develop expertise in machine learning research. You will be paired with an experienced researcher from NVIDIA to work on a joint research problem that is of mutual interest. Over the course of the 12 months, you will devise and investigate new methods, evaluate them, and disseminate your findings to the research community through publications at venues such as NIPS, ICLR, ICML, and CVPR. The program is designed to get you up to speed as quickly as possible, so you can pursue a career as a research scientist in machine learning.

While we expect residents to have a strong technical background, it does not need to be in artificial intelligence. Experience in adjacent fields that provide a meaningful knowledge base which is relevant to machine learning qualifies. This includes PhDs (or similar research experience) in mathematics, physics, signal processing, statistics, neuroscience, and computer science. Some prior experience with machine learning and commonly used frameworks and tools is a plus, but not strictly necessary.

Residents will be typically based at NVIDIA HQ in Santa Clara.

What You'll Be Doing

  • Get up to speed in machine learning.
  • Read and learn about prior work.
  • With the help of your mentor, define your research project.
  • Follow through on your research project, including implementation and evaluation.
  • Write up your research results in the form of an academic paper and submit to a relevant conference.


What We'll Need to See:

  • Demonstrated research experience in mathematics, physics, signal processing, statistics, neuroscience, or computer science.
  • Track record of research excellence with a strong publication record.
  • Excellent communication skills.
  • Coding experience in a programming language like Python, MATLAB, or C/C++.
  • Familiarity with a deep learning framework, such as PyTorch or TensorFlow is a plus.
  • Some research experience in machine learning is a plus.

Evaluation Criteria

Each proposal will be evaluated for:

  • Applicant quality
  • Research quality
  • Relevance to NVIDIA

Application Instructions

Your AI Research Residency application must include:

  • CV/Resume. Please make sure to include details on your 1) publication track record, 2) coding experience and/or open source contributions, 3) machine learning experience (if any).
  • Personal and Research Statement (2 pages maximum). Please describe why you would like to participate, which research area you would like to get into, what your current research expertise is and how it fits with the NVIDIA AI Research Residency Program. If you have concrete research ideas, please include them.
  • Transcripts. Please include transcripts from your previous degrees.

Submission portal: It is the applicant's responsibility to ensure that all of these items are submitted prior to the deadline. We are using a new submission portal, in which the applicant manages their own application. The applicant must:

  • complete a profile - start this now; you can go back to the portal repeatedly until you submit the final application
  • complete your application input including all required documents in PDF format
  • submit the final application when all items are complete, and prior to the application deadline: 3pm Pacific Friday December 7, 2018


The portal is closed



  • Submission portal opens: November 1st, 2018
  • Submission deadline: December 7th, 2018
  • Interview invitation: January 18th, 2019
  • Notification: March 1st, 2019
  • Offer acceptance deadline: March 15th, 2019
  • Residency program start: July 2019
  • Residency program end: June 2020

Terms and Conditions

Final acceptance to the AI Research Residency program will be subject to NVIDIA's hiring policies. During the AI Research Residency, you will be subject to NVIDIA's corporate policies, including, but not limited to, intellectual property and open source software. NVIDIA Corporation will be the employer under this program.

AI Research Residency FAQs

  • Is the residency paid? Yes.
  • Can I do a part-time residency? No, it is a full-time program.
  • Can I do a longer residency? No, the program is designed for 12 months.
  • Can I be still enrolled as a student at a university? No, the residency cannot be done simultaneously.
  • Can I do it remotely? No. It is much more beneficial to be in daily, direct contact with your mentor.
  • Do I need to be a US citizen or green card holder? No. We will help you obtain a visa (assuming you are eligible).
  • Can the residency lead to a full-time position at NVIDIA? A successful residency may lead to full-time employment at NVIDIA.
  • Do the transcripts I submit need to be official? No, non-official copies are acceptable.