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Experienced Control Algorithms Engineer

Mobileye Vision Technologies Ltd.

Ramat Gan, IsraelFirmwareFull timePosted May 25, 2026
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Skills named in this posting

  • C++
  • Python
We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.   *Please note that this position requires 2 days a week at our HQ in Jerusalem. What will your job look like: • Work on developing and optimizing control algorithms for the vehicle. • Run and analyze simulations to test autonomous vehicle in virtual environments. • Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers. • Working with communication protocols and interfaces for both internal and external communications with different components of the system. • Customer facing workshops to discuss and test your algorithms. • Testing your algorithms in an Autonomous vehicle. All you need is: • B.Sc. in Software/Mechanical/Aerospace Engineering. M.Sc - advantage. • Background in control design and method for embedded systems or robotics (at least 3 years of experience). • Proficient in C++ & Python (at least 2 years of programming). • Experience in Linux. • Experience in Simulink RT - Advantage. • Willingness to travel a few times a year abroad

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Original posting: jobs.eu.lever.co

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RISC-V ecosystem

Mobileye Vision Technologies Ltd. in the RISC-V ecosystem

RISC-V International: Strategic

Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.

  • Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
  • Exhibited in the RISC-V booth at Embedded World 2023

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