NVIDIA 2026 Internships: Software Engineering 

NVIDIA • Santa Clara, CA

114d • $20 - $71

About The Position

By submitting your resume, you’re expressing interest in one of our 2026 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 full-time internship, students will work on projects that have a measurable impact on our business.

Requirements

• 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.
• Prior experience or knowledge in programming skills and technologies such as 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).

Nice To Haves

• Course or internship experience related to Relational Databases, Linear Algebra & Numerical Methods, Operating Systems, Scheduling and Process Control, Hardware Virtualization.
• Course or internship experience related to Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging Tools.
• Course or internship experience related to Unix/Shell Scripting, Linux, Java, JavaScript, C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers, Containers, Configuration Automation.
• Experience with Deep Learning, GPU Computing, Accelerated Computing, Validation Frameworks for Deep Learning, Data Preprocessing, Training Acceleration, Convolution Operations, Real-Time Inference.

Responsibilities

• Work on projects that have a measurable impact on our business.
• Debug complex system-level issues using Jenkins.
• Support overall architecture and design of cloud storage infrastructure.
• Implement and troubleshoot storage and data platform tools.
• Automate storage infrastructure end-to-end.
• Build industry leading technology by proving workflows and infrastructure.
• Enable success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging.
• Build infrastructure for back-end analytics.

Benefits

• Hourly rate for interns is 20 USD - 71 USD.
• Eligible for Intern benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees