Deep Learning Software Engineer Intern for AV Perception

Key Skills

Aartificial intelligence, Algorithms, Autonomous vehicles, C++, Caffe, CUDA kernels, Deep Learning, Design, GPUs, Machine learning techniques, OpenCL, Python Programming, PyTorch, TensorFlow

Job Description

What you’ll be doing:

• Inventing and applying state of the art deep learning algorithms to solve problems related to building autonomous vehicles.

• Research and work on object detection, classification, segmentation based on images, radar and lidar data.

• Co-work with various internal product and research teams contributing toward building a self-driving car software solution as well as partners and customers.

What we need to see:

• Solid knowledge in deep learning algorithms, machine learning and computer vision.

• Hands on model training experience for one or more CV tasks, including but not limited to object detection, image scene classification, semantic segmentation.

• Solid experience in at least one of deep learning training framework such as Tensorflow, Pytorch, Caffe.

• Good programming, software design, and testing skills in Python, C++, or similar languages.

• Pursuing Masters or PhD in Computer Science, Artificial Intelligence, Applied Math, or related field.

• Can do internship for at least 3 months and work at least 3 days/week

Ways to stand out from the crowd:

• Good paper records in top conference like CVPR, ICCV, ICLR etc.

• Participation in deep learning competitions where you finished in the top 5.

• Experience with data-parallel and/or accelerated computing (CUDA, OpenCL, NEON).

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud and we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. With deep learning, we can teach AI to do almost anything. New internet services, like Google Assistant, have learned speech from sound and provide a more natural way to access information. Self-driving cars use deep learning to recognize the space the car inhabits, the lanes in which it drives, and the objects to avoid. In healthcare, neural networks trained with millions of medical images can find clues in MRIs that until now could only be found through invasive biopsies. These are just a few examples. AI will spur a wave of social progress unmatched since the industrial revolution. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come join our Deep Learning Software team and help us build the real-time, cost-effective computing platform driving our success in this dynamic and quickly growing field.