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Computer vision AI Algorithm Engineer


Haifa, IL
Job Code:
  • Engineering
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Job Details

Computer vision AI Algorithm Engineer Careers at Intel in Haifa,
Job ID: JR0049367
Job Category: Engineering
Primary Location: Haifa, IL
Other Locations:
Job Type: Experienced Hire

Computer vision AI Algorithm Engineer

Job Description

About us:

Our vision at Intel’s Real Sense Group is to enrich people’s lives through devices and machines that perceive the world in 3D. We work on a portfolio of computing devices including VR/AR devices, Smartphones, Drones, Robots and Peripherals.  Our mission is to enable our partners to build high volume products powered by best-in-class RealSense™ 3D technologies. The Real Sense product portfolio includes 3D Cameras, Tracking Modules, Computer Vision libraries and ASICs for depth processing and sensing and understanding with world class algorithms.

This is what we do -

About you:

You will build computer vision CV based depth camera products/solutions. Create and implement new or use existing traditional and deep-learning CV algorithms, to solve applied problems in various domains that use depth camera components.Interact with users to define requirements for CV/AI based product/solutions.Design depth camera algorithms using advanced simulation tools, while performing basic trade-offs: power, die size & performance. You will work closely with system architects, ASIC team & FW/SW teams.




What are we looking for?
- Master's or PhD in computer science or electrical engineering, focusing on CV or deep learning
- 3+ years experience in image processing algorithm development
- 3+ years experience with Matlab, Payton or C++.

Inside this Business Group

Intel Labs, the New Business Initiatives group (NBI), the Perceptual Computing Group and the New Devices Group (NDG). Additionally, New Devices Group and the New Business Initiatives group were combined into the New Business Group (NBG) which nests into NTG.


As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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