Autonomous Vehicles & Robotics Intern: Hands-on Impact

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 28.000 - 98.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Intern benefits

Descripción de la vacante

NVIDIA Corporation invites aspiring engineers to join a 12-week, full-time internship in Santa Clara, CA, focused on Autonomous Vehicles and Robotics. You will work on projects with measurable business impact and collaborate with interdisciplinary teams across AI, computer vision, and software platforms.

To be considered, you must be enrolled in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or related fields, with expected graduation dates clearly listed on your

Formación

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree for the full duration of the internship; anticipated graduation date must be indicated on resume/CV.
• Prior experience or knowledge in listed programming skills and technologies may be required.
• Internship is 12 weeks, full-time; location is Santa Clara, CA.

Responsabilidades

• Develop and train state-of-the-art Deep Neural Networks for path generation.
• Collect training datasets and real-time inference run-times using simulators/gyms and in-vehicle tests.
• Work on robotics infrastructure and software platforms powering Isaac and related systems.
• Collaborate with Electrical, Computer Engineering, and robotics teams to validate frameworks and systems.

Educación

B.S., M.S., or Ph.D. in Electrical Engineering or Computer Engineering

Herramientas

C

C++

C++17

CUDA

ROS

Python

OpenGL

Linux

LiDAR/Cameras/Radars

TensorFlow/Keras/PyTorch

Descripción del empleo

NVIDIA Corporation invites aspiring engineers to join a 12-week, full-time internship in Santa Clara, CA, focused on Autonomous Vehicles and Robotics. You will work on projects with measurable business impact and collaborate with interdisciplinary teams across AI, computer vision, and software platforms.

To be considered, you must be enrolled in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or related fields, with expected graduation dates clearly listed on your