NVIDIA is inviting applications for its PhD Research Intern, AI-Aided Engineering – 2027 position in Santa Clara, California, United States. The opportunity is designed for doctoral researchers interested in artificial intelligence, scientific computing, physical simulation, engineering design and large-scale deep learning.
The internship offers candidates the opportunity to work with NVIDIA Research’s AI-Aided Engineering (AIE) team, developing innovative AI methods that address complex engineering and scientific challenges. Successful candidates will collaborate with experienced researchers and mentors, contribute to projects with practical applications, and potentially publish their findings in leading academic conferences and journals.
Applications are scheduled to be accepted at least until 16 October 2026. Interested candidates should review the official vacancy and submit their applications before the deadline.
About NVIDIA Research
NVIDIA is a technology company known for its contributions to accelerated computing, computer graphics, gaming and artificial intelligence. Its research teams develop technologies that support scientific discovery, engineering innovation and real-world applications across multiple industries.
The AI-Aided Engineering team focuses on developing advanced AI techniques for physical simulation and engineering design. Its research areas include neural operators, geometric representations and large-scale learning. The internship provides an opportunity for doctoral researchers to contribute to this work while receiving guidance from experienced professionals.
Projects are tailored to interns’ expertise, allowing researchers to apply their existing knowledge while exploring new methods and research directions.
Internship Responsibilities
The selected PhD Research Intern will contribute to research at the intersection of AI and engineering. Key responsibilities include:
- Researching, designing and implementing novel AI methods for physical simulation and engineering design.
- Developing and evaluating new research ideas and computational approaches.
- Collaborating with the AIE team, assigned mentors and other researchers.
- Working with NVIDIA product groups to help transfer research innovations into practical applications.
- Contributing to research outcomes that may be suitable for publication in leading conferences and journals.
The position is suitable for candidates who enjoy independent research, technical problem-solving and collaboration across research and product development teams.
Eligibility Requirements
Applicants must be pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering or a closely related discipline.
Candidates should demonstrate a strong research track record and the ability to develop, implement and evaluate original ideas. Excellent Python programming skills are required, alongside experience using PyTorch or a comparable deep learning framework.
Applicants must also possess strong communication skills and be able to work effectively both independently and collaboratively.
In addition, candidates must demonstrate substantial expertise in at least one of the following areas:
1. Physical simulation and engineering
Applicants may have expertise in computational fluid dynamics (CFD), including experience running numerical solvers and analysing simulation results. Alternatively, relevant experience may include CAD/NURBS-based geometric modelling and geometry processing.
2. Large-scale deep learning model training
Candidates may demonstrate experience training large language models, vision transformers or other large-scale neural networks.
Applicants should be prepared to demonstrate how their research experience, technical skills and previous projects align with the team’s research objectives.
Skills That Strengthen an Application
NVIDIA identifies several additional capabilities that may distinguish strong applicants.
Experience with geometry encoding and learning from meshes, point clouds or computer-aided design (CAD) data is a significant advantage.
Experience developing agentic AI systems is also valuable, particularly systems designed for tool use, automated experimentation, or scientific and engineering workflows.
Candidates should highlight relevant publications, research projects, technical contributions and evidence of successfully implementing complex computational methods. Where applicable, applicants can emphasise experience with scientific machine learning, numerical simulation, geometric data processing and scalable AI systems.
Location, Duration and Compensation
The position is based in Santa Clara, California, United States, and is advertised as a full-time internship. The supplied vacancy announcement does not specify the internship’s exact start date or duration.
NVIDIA lists an hourly pay range of US$38 to US$94 for interns. The actual rate depends on factors including the position, location, year of study, degree and experience. Interns are also eligible for internship benefits. Additional information about the company’s benefits package is available through NVIDIA’s official benefits website.
International applicants should review the official vacancy for any applicable work authorisation, immigration or relocation requirements, as these details are not specified in the supplied announcement.
How to Submit a Strong Application
Candidates should prepare an application that clearly demonstrates their research expertise and suitability for AI-aided engineering.
Applicants can strengthen their submissions by highlighting relevant PhD research, peer-reviewed publications, Python and PyTorch experience, and examples of developing or evaluating original AI methods. Candidates specialising in physical simulation should explain their experience with numerical solvers, CFD, geometric modelling or related engineering workflows. Those specialising in large-scale deep learning should describe their experience training and evaluating advanced neural networks.
Where relevant, applicants should also showcase research involving meshes, point clouds, CAD data, agentic AI or automated scientific experimentation.
Before applying, candidates should verify all requirements and submit their materials through NVIDIA’s official recruitment portal.
Application Deadline
16 October 2026
NVIDIA states that applications will be accepted at least until this date. As the deadline may have passed depending on when the vacancy is reviewed, candidates should check the official listing immediately to confirm whether applications remain open.
VISIT OFFICIAL WEBSITE TO APPLY
Search for “PhD Research Intern, AI-Aided Engineering – 2027”, using requisition number JR2026940, to locate the vacancy and access the application process.
NVIDIA is an equal opportunity employer and states that it is committed to fostering an inclusive workplace. Applicants should consult the official job posting for the complete vacancy details and applicable employment policies.
