NVIDIA 2026 Internships : Software Engineering - US

By submitting your resume, you’re expressing interest in one of our 202 6 Software Engineering Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

Potential Internships in this field include :

Development Tools

Debugging complex system-level issues using Jenkins

Course or internship experience related to the following areas could be required : Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory / resource management), Scheduling and Process Control, Hardware Virtualization

Cloud

Supporting overall architecture and design of our cloud storage infrastructure

Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end

Course or internship experience related to the following areas could be required : Distributed Systems, Data Structures & Algorithms, Virtualization, Automation / Scripting, Container & Cluster Management, Debugging

Tools Infrastructure

Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies

Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging

Course or internship experience related to the following areas and technologies could be required : Unix / Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)

Machine Learning Operations

Deep Learning, GPU Computing, Accelerated Computing

Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS , cuDNN )

Data Preprocessing, Training Acceleration (CUDA, cuDNN , NCCL), Convolution Operations ( cuDNN ), Real-Time Inference ( TensorRT )

Building Infrastructure for B ack- E nd A nalytics

What we need to see :

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.

Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies :

• Java, JavaScript, (including Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)

Click here () to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors .

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits () . ​

Applications are accepted on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.