Embedded SW and Validation Developer
About this role
Mobileye’s EyeQ Platform Group is looking for a talented Embedded SW Developer to join our Haifa team. In this role, you will be at the heart of our SoC (System on a Chip) validation, specifically responsible for the Video Interface Unit- the "eyes" of our autonomous driving technology.
You will write high-performance, object-oriented C++ code on Mobileye’s proprietary validation OS, interface with low-level drivers, and take a lead role in complex board bring-up processes. If you thrive on solving "impossible" hardware-software puzzles alongside HW engineers, this is the place for you.
\nWhat will your job look like:- Design and implement robust C++ code for multi-threaded, multi-core environments running on advanced MIPS and RISC-V architectures.
- Develop Video Interface drivers and frameworks, maintaining and scaling existing systems to support next-gen SoC capabilities.
- Board bring-up activities and debug complex systems on Mobileye’s proprietary Silicon.
- Utilize on-SoC scripting engines to provide flexibility and interactive SoC usage for internal and external stakeholders.
- BSc in Computer Science, Computer Engineering, or Electrical Engineering.
- 3+ years of hands-on experience in C++ programming and Embedded SW development.
- Proven ability to work with HW specifications and develop SW in Bare-metal or RTOS environments.
- Strong experience in HW/SW integration and debugging on real SoC environments.
- Knowledge in shell scripting and Python.
- Understanding of embedded systems architecture (IOs, I2C, SPI, and other interconnect buses)- Advantage.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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