NVIDIA 2026 Internships: Software Engineering

at Nvidia
📍 Santa Clara, United States
USD 41,600-147,700 per year
USD 20-71 per hour
INTERN
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 3 Ansible @ 3 Docker @ 3 Go @ 3 Jenkins @ 3 Kubernetes @ 3 Linux @ 3 Python @ 3 SQL @ 3 Java @ 3 Algorithms @ 3 Data Structures @ 3 Distributed Systems @ 3 Machine Learning @ 3 Git @ 3 JavaScript @ 3 React @ 3 Microservices @ 3 Debugging @ 3 CUDA @ 3 GPU @ 3

Details

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming many industries — from gaming to robotics, self-driving cars to healthcare, climate change to virtual worlds. By submitting your resume, you’re expressing interest in one of our 2026 Software Engineering Internships. Resumes are reviewed on an ongoing basis and a recruiter may reach out if your experience fits one of our internship opportunities.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on NVIDIA’s business. We’re looking for students pursuing a Bachelor’s, Master’s, or PhD degree in a relevant field (examples listed below) who are strategic, ambitious, hard-working, and creative.

Potential internship focus areas

  • Development Tools

    • Debugging complex system-level issues using Jenkins
    • Relevant coursework or experience: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization

  • Cloud

    • Supporting architecture and design of cloud storage infrastructure
    • Implementing and troubleshooting storage and data platform tools; automating storage infrastructure end-to-end
    • Relevant coursework or experience: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging

  • Tools Infrastructure

    • Building workflows and infrastructure alongside teams in production software development and chip design methodologies
    • Enabling success for content running on the chip: application tracing and analysis, modeling, diagnostics, performance tuning, and debugging
    • Relevant technologies: Unix/Shell Scripting, Linux, Java, JavaScript (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 and libraries: NumPy, SciPy, cuBLAS, cuDNN
    • Data preprocessing, training acceleration (CUDA, cuDNN, NCCL), convolution operations (cuDNN), real-time inference (TensorRT)
    • Building infrastructure for back-end analytics

Responsibilities

  • Contribute to meaningful projects over a 12-week, full-time internship that impact NVIDIA products and services
  • Work within teams on development, debugging, automation, cloud storage, ML/accelerated computing, and tools infrastructure tasks depending on assigned internship
  • Implement, test, and troubleshoot software and infrastructure components; participate in code reviews and collaborate with engineers across disciplines

Requirements

  • Must be actively enrolled in a university pursuing a Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field for the entire duration of the internship
  • Depending on the internship role, prior experience or coursework could include: Java, JavaScript (Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Docker, Ansible
  • Coursework or internship experience in relevant topics such as Distributed Systems, Data Structures & Algorithms, Operating Systems, Virtualization, Automation/Scripting, and Debugging is often expected

Compensation and logistics

  • Internship duration: 12 weeks, full-time
  • Hourly rate for interns: 20 USD - 71 USD (standard pay based on position, location, year in school, degree, and experience)
  • Applications accepted on an ongoing basis

Benefits

Diversity & inclusion

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other characteristics protected by law.