NVIDIA 2026 Internships: Software Engineering - US

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 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 degrees within a relevant or related field.

Potential Internship Areas

Development Tools

  • Debugging complex system-level issues using Jenkins.
  • Course or internship experience related to: 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: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging.

Tools Infrastructure

  • Building industry-leading technology by providing 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 and technologies that 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 back-end analytics.

Responsibilities

  • Work on 12-week minimum, full-time internship projects that have measurable business impact.
  • Contribute to architecture, design, implementation, debugging, and automation tasks depending on the internship role and team.
  • Collaborate with cross-functional teams including software development and chip teams to enable production workflows, diagnostics, and performance tuning.

Requirements

  • Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field for the entire duration of the internship.
  • Depending on the internship role, prior coursework or internship experience could include: Java, JavaScript (Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes, Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible), Distributed Systems, Data Structures & Algorithms, Operating Systems, Virtualization, Automation/Scripting, Debugging, Relational Databases, Linear Algebra, Numerical Methods.

Compensation & Benefits

  • 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 (link provided by NVIDIA).

Additional Information

  • Applications are accepted on an ongoing basis.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate based on legally protected characteristics.