1

Localization Intern Jobs in Santa Clara, CA (NOW HIRING)

Showing results 21-21

Localization Intern information

See Santa Clara, CA salary details

$10

$20

$28

How much do localization intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for localization intern in Santa Clara, CA is $20.01, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 per hour, depending on experience, location, and employer.

What is a localization intern?

A Localization Intern assists with adapting content, products, or services for different languages and cultures. Responsibilities may include translating, proofreading, testing localized software or websites, and coordinating with translators or linguists. This role helps ensure accuracy, cultural relevance, and linguistic quality in the final localized product.

What types of projects and tasks can I expect to work on as a localization intern?

As a Localization Intern, you'll typically assist with translating and adapting various materials such as websites, software, marketing content, and documentation to different languages and cultures. You may help review and edit translations, participate in linguistic quality assurance, and use specialized localization tools to support the workflow. Your daily tasks often involve collaborating closely with translators, project managers, and developers to ensure consistency and accuracy. This experience provides valuable insight into the end-to-end localization process and helps build the practical skills needed for more advanced roles in the industry.

What are the key skills and qualifications needed to thrive as a localization intern?

To thrive as a Localization Intern, you need strong language proficiency in both the source and target languages, attention to detail, and an understanding of cultural nuances, usually supported by relevant coursework or experience in translation or linguistics. Familiarity with localization tools such as CAT (Computer-Assisted Translation) software, translation management systems, and QA platforms is highly beneficial. Excellent communication, teamwork, and time management skills help interns adapt to fast-paced projects and collaborate effectively. These competencies are vital for delivering high-quality localized content that meets project deadlines and maintains the intended meaning and tone across cultures.

What are the most commonly searched types of Localization jobs in Santa Clara, CA?

The most popular types of Localization jobs in Santa Clara, CA are:

What are popular job titles related to Localization Intern jobs in Santa Clara, CA?

For Localization Intern jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Localization Intern jobs in Santa Clara, CA look for?

The top searched job categories for Localization Intern jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Localization Intern jobs?

Cities near Santa Clara, CA with the most Localization Intern job openings:

Infographic showing various Localization Intern job openings in Santa Clara, CA as of June 2026, with employment types broken down into 13% Internship, 1% As Needed, 51% Full Time, 34% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $41,617 per year, or $20 per hour.

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 17 days ago


Key responsibilities

  • Develop and train deep neural networks for path generation in autonomous vehicles.

  • Collect training datasets and perform real-time inference testing using simulators and in-vehicle tests.

  • Build the fundamental infrastructure and software platforms for robotics systems, including working at the core of the software system.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

By submitting your resume, you acknowledge that your 2027 Autonomous Vehicles and Roboticsinternship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. 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 Autonomous Vehicles and Robotics 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. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

Potential Internships in this field include:

Autonomous Vehicles

  • Developing and training state-of-the-art Deep Neural Networks for path generation
  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
  • Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation

Robotics

  • Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac
  • Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

What we need to see:

  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, C++17, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)

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 Internbenefits.

Applications are accepted on an ongoing basis.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US