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Algorithm Developer - Intuitive HMI & Connected Car

Valeo
Cairo, Egypt
Posted 5 years ago
204People have clicked1 open position
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Job Details

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Job Description

Job Mission

Being part of software development team in Intuitive HMI and Connected Car domains, to develop the following systems:

  • Develop software in in IHCC (Intuitive HMI and Connected Car) field.
  • Develop & Improve the current Gesture and eye monitoring algorithms based on CNN & DNN.
  • Write and analyze requirements specifications.
  • Design software architecture and reusable software components/algorithms.
  • Develop & test the state of the art algorithms for Gesture and Driver monitoring.

Job Responsibilities:

  • Conduct research in state-of-the-art Deep Learning area.
  • Implement and prototype ideas on real hardware and embedded systems.
  • Innovate solutions for in-car automatic monitoring problems.
  • Understand and analyze customer and design requirements to identify any gaps or missing information needed to perform development and testing activities for algorithms.
  • Develop test plans and test cases to verify that the algorithms meet the customers’ and the high-level requirements.
  • Use the tools (Like ADTF) to make environment to test Algorithms.
  • Analyze the failed test cases to know if it is coming from Algorithm or test environment.
  • Continuously communicate work progress through attendance of daily & weekly project meetings. (Internal and external with other Valeo sites)
  • Capitalize the knowledge of Gesture & Driver Monitor algorithms and document it in Product knowledge document then start to disseminate them inside the team.
  • Publish research papers in the area of deep learning and autonomous driving when requested (Is a plus).

Job Requirements

Education/Training/Skills

  • BSc in Computer Science, Computer Engineering, Electronics and Communications, or Mechatronics.
  • Enrollment in a post-graduate program (MSc/PhD), focus on deep learning/machine learning.
  • English is a must
  • Strong Machine Learning and Computer Vision background.
  • Deep learning background is a plus.
  • Automotive and/or Robotics background is a plus.
  • Experience in Embedded systems is a plus.
  • Strong publications record is a plus.
  • MSc/PhD is a plus.

Professional Experience:

  • From 0 to 3 years of relevant experience

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