Intel Drone/Computer Vision Engineer in Santa Clara, California

Job Description

Intel's Unmanned Aerial Vehicles UAV organization is looking for an engineer intern passionate about drones, robotics, and computer vision applications.

The successful candidate will work closely with product managers, other engineers, and data scientists to create proof-of-concepts to validate future business opportunities.

Responsibilities

  • As a Drone/Computer Vision Engineer, you will be responsible for developing and improving existing algorithms for localization, mapping, and planning.

  • You will use your computer vision and sensor fusion techniques to merge data from depth cameras Intel RealSense, IMUs, and other sensors to make sense of the environment surrounding the drone.

  • You will implement the previously described techniques and algorithms in Intel's state-of-the-art drone technology to demonstrate functionality and feasibility

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

  • Must be pursuing a Masters or Ph.D in Electrical Engineering, Computer Engineering, Computer Science or other science/engineering related field.

Minimum of 6 months experience in the following areas:

• Computer Vision, Image Processing

• Object Recognition Algorithms

• Simultaneous Localization and Mapping algorithms SLAM

• Dead Reckoning

Preferred Qualifications

• Experience and familiarity with:

• Yocto Linux

• ROS and OpenCV

• Computer Graphics i.e. raw OpenGL and DirectXIntel RealSense

Inside this Business Group

Perceptual Computing (PerC) is an organization within Intel tasked with the research, development, and productization of technologies for Natural User Interaction, encompassing both human to machine and human to human experiences. PerC aims to build technologies that would help users to have natural, immersive and intuitive interaction with computers through not only touch interface but also through hand gestures, voice and video. The objective of PerC is to explore consumer-focused hardware and software applications of close-range hand and finger gestures, speech recognition, face recognition and tracking, augmented reality and more.

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