By submitting your resume, you’re expressing interest in one of our 2024 NVIDIA 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 internships.

　　NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

　　Our internships offer an excellent opportunity to expand your career and get hands on 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 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 included (but not limited to):

　　Software Cloud

　　Understanding the overall architecture and design of our cloud storage infrastructure

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

　　Software Tools Infrastructure

　　A software team that enables architects to build the next generation of amazing hardware, including GPU Development Tools, Chip Design, Validation, and Workflow Tools & Metrics, Process Management, and Compute Infrastructure teams

　　Data Science

　　Building GPU accelerated next generation AI Streaming platforms for Big Data and AI streaming workloads using parallel programming on GPUs leveraging CUDA

　　Web Development

　　Working on multiple web-based tools and applications, ensuring the framework/libraries are flexible and performs to meet all users’ requirements

　　What we need to see:

　　Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field

　　Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: C, C++, Python, Perl, Java, JavaScript, Unix/Shell Scripting, Graphics & GPGPU APIs (Vulkan, DirectX, OpenGL, CUDA, OpenCL), Data Processing Tools (ElasticSearch, Kibana, Grafana, MongoDB), OOP, GitLab, Linux, Go, SPARK, RAPIDS, REST API, CI/CD, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), HTML, CSS, React, Angular, Kubernetes, and/or Ruby

　　Relevant academic of professional experience in Data Structures and Algorithms, Operating Systems, Distributed Systems, GPU Development, and/or Data Science

　　Click here (http://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/careers/UR-Student-Resources.pdf) 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.

　　The hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

　　You will also be eligible for Intern benefits (https://www.nvidia.com/en-us/benefits/interns/) . NVIDIA accepts applications 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.

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .