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Embedded Systems Machine Learning Engineer

Barkotel
Sheraton, Cairo
Posted 3 years ago
295Applicants for1 open position
  • 66Viewed
  • 27In Consideration
  • 38Not Selected
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Job Details

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Job Description

About the Job

  • Design and implement software of embedded devices and systems from requirements to production and commercial deployment.
  • Design, develop, code, test, and debug system software.
  • Review code and design.
  • Analyze and enhance efficiency, stability, and scalability of system resources.
  • Integrate and validate new product designs.
  • Support software QA and optimize I/O performance.
  • Provide post-production support.
  • Interface with hardware design and development.
  • Assess third-party and open-source software.
  • Design and implement software of embedded devices and systems.
  • Design, develop, code, test debug and improve system software.

Description

  • Design, develop, debug and troubleshoot software and firmware programs for current and next-generation embedded systems and products.
  • Develop software and tools in support of design, infrastructure, and technology platforms.
  • Determine or contribute to the assessment of hardware compatibility and/or influence hardware design and HW/SW functional split.
  • Engage with work team for requirement analysis and solution development
  • Analyze requirements and deal with change-requests
  • Design software components based on the high-level design requirements
  • Configure the different software components according to the specified requirements
  • Develop component/integration test plans and test cases to verify the correct functionality against the requirements and that software meets the customers’ and the high-level requirements
  • Verify the software component functionalities in a defined HW target/platform

Job Requirements

  • Solid knowledge of basic electrical and electronics principles is a must.
  • The ability to self-study is a must.
  • Excellent English skills.
  • Solid experience with API design and implementation (e.g. Flask) is a must
  • Experienced in Embedded systems development
  • Solid Knowledge of PCB design with one of the following S/W tools (Proteus – Eagle – EasyEDA) or equivalent is a must.
  • Qualifications Sc. degree of Computer, Communication Or Mechatronics Engineering
  • Some exposure to Linux
  • Good knowledge in machine learning/deep learning

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