NVIDIA is now looking for an Intern of System Software Engineers for its Autonomous Vehicle teams. As an intern of our team, you will be responsible for assisting senior engineers on developing and maintaining software to drive the car, given various sensor input devices including Camera’s, LIDAR, RADAR, GPS, IMU and others on Vehicle CAN, work with different teams here to transform the information into driving the car with the best experience. You will work with different teams on all sort of challenging problems for autonomous driving including computer vision, deep learning, object tracking, car controlling. You will help build the software and make it work flawlessly and safely on our driving platform. We expect you to have strong communication, organizational, and analytical skills. Solid understanding and strong system software experience is a requirement. Experience with GPU technology, image processing, computer vision, and multimedia are highly valued. Familiarity with deep learning / artificial intelligence is desirable.
What you’ll be doing:
Craft the driving application for Autonomous Vehicle products
Solve the real challenging problems in the software with different teams and to drive the car with the best experience
Performance optimization on our driving platforms
What we need to see:
Pursuing MS or PhD in EE/CS or closely related field, better with relevant work and lab experience
Possess a deep understanding of programming languages in C, C++ and Python.
Familiar with source control tools (git, Perforce, etc.)
Experienced in developing system software mostly in user space but also feel no big deal in digging deep into kernel space and even low-level hardware
Know too much about system programming, threading, mutex, synchronization, communication, and parallel computing to build highly scalable and efficient applications
More than familiar with underlying hardware architecture for CPU/GPU and memory, and understand performance from the bottom up
Prior experience working in the following areas: Kernel development, Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Computer Vision, Deep Learning
Display outstanding communication and collaboration skills, as we work as a tightly-knit team, always discussing and learning from each other and driving things forward and making solid progress
Ways to stand out from the crowd:
Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization
Solid working experience in kernel developing, Linux/QNX, and all too familiar with OS scheduling, event handling, real-time requirements.
Experience with Computer Vision, Machine Learning, Deep Learning or other Artificial Intelligence paradigms
Experience in Automotive Vehicle or Robotic System Building
