Experienced Control Algorithms Engineer
Overview
- Added in 30 days
- 68
- At this company, still open
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
Apply on the employer's site
Original posting: jobs.eu.lever.co
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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