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NVIDIA

Company: NVIDIA
Website: www.nvidia.com
Location: Santa Clara, California
Employees: 12000
Industry: AI Computing
Founded:  1993
Introduction:  NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
   
Opening A: 2-3 persons
Field: deep learning/data science
Description:  apply deep learning techniques to real-world applications
   
Opening B: 2 persons
Field: AI Computing/AI SDK Architect
Description:  Position : AI SDK Architect (2 persons)
Projects/Tasks for 1-year program:
• Helping to define, innovate and improve upon our state of the art SDK optimized for mobile Tegra devices
• In this exciting applied engineering role, you will be crafting a SDK which is instrumental in allowing developers to realize their deep learning inference and computer vision solutions for mobile devices
• Applying these algorithms for computer vision and autonomous machines
• Partner with our product engineering and research organizations to bring AI coupled with advanced multimedia solutions to the market

Criteria:
• Excellent C++ programming required (experience with STL is a plus)
• Knowledge of object-oriented design patterns
• Experience with GPU compute and CUDA programming
   
Opening C: 2 persons
Field: AI Computing/Deep Learning-Intelligent Video Analytics
Description:  Position : Deep Learning-Intelligent Video Analytics (2 persons)
Projects/Tasks for 1-year program:
• Development of face/people detection and recognition DL networks
• Design of networks for extraction of attributes from pedestrians and cars
• Tracking and Re-identification of peoples and cars
• Performance characterization of networks against KPI
Criteria:
• Knowledge of DL frameworks, and recent research in architectures
• Knowledge of computer vision
• Programming in Python and C/C++
   
Opening D: 2-4 persons
Field: AI Computing/Deep Learning DevTech- Healthecare, Autonomous Driving
Description:  Position : Deep Learning DevTech- Healthecare, Autonomous Driving (2-4 persons)
Projects/Tasks for 1-year program:
• To integrate NVIDIA technology into HPC and Cloud architectures to support Artificial Intelligence research and applications.
• Develop GPU-accelerated applications, design examples and solutions using NVIDIA technologies.
• Document all aspects of research and benchmarking results to contribute to the knowledge base of NVIDIA
• Develop effective curriculum and training content for data scientists and software developers
• Product testing and qualification at customer premises (if required) including, reviewing, identifying, reproduction of customer bugs.
 Criteria:
• Experience working with modern Deep Learning software architecture and frameworks including Caffe, Theono, TensorRT, Convnet,  cuDNN, Torch or other Deep Learning Frameworks
• C programming / Parallel programming experience
• Exposure to GPU technology
• CUDA optimization,  CUDA  Programming experience
• Specialty skills in large scale computing and cluster computing, machine learning, convolution neural networks