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NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

NVIDIA
  • Us, California
    5 days ago

    Job Description

    By submitting your resume, you acknowledge that your 2027 Autonomous Vehicles and Robotics internship 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 hereto 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 Intern benefits. ​

    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.

    Numbers & Facts

    LocationUs, California
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1993
    Websitehttp://www.nvidia.com

    About Company

    Visualize your future . . . We Do
    NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

    Skills

    • Artificial Intelligence (AI)unmatched
    • Autonomous Driving Systemsunmatched
    • C Programming Languageunmatched
    • C++ Programming Languageunmatched
    • CUDA (Compute Unified Device Architecture)unmatched
    • Climate Changeunmatched
    • Cloud Computingunmatched
    • Computer Engineeringunmatched
    • Computer Graphicsunmatched
    • Computer Programmingunmatched
    • Computer Visionunmatched
    • Data Setsunmatched
    • Data Structuresunmatched
    • Deep Learningunmatched
    • Electrical Engineeringunmatched
    • Emerging Technologyunmatched
    • Gamingunmatched
    • Healthcareunmatched
    • Image Processingunmatched
    • Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR)unmatched
    • Linux Operating Systemunmatched
    • Memory Hardwareunmatched
    • OpenGL Programming Librariesunmatched
    • Operating Systemsunmatched
    • Physicsunmatched
    • Python Programming/Scripting Languageunmatched
    • Roboticsunmatched
    • Simulationunmatched
    • Source Code/Configuration Management (SCM)unmatched

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