What will your job look like?
- Own end-to-end radar integration and bring-up, from sensor and ECU interfaces to vehicle networks and the perception data path.
- Reproduce and root-cause complex integration issues using logs, packet captures, bench or vehicle testing, and SIL/HIL/embedded comparisons.
- Work directly with customers and Mobileye’s software, hardware, algorithms, system, and validation teams throughout integration, validation, release, and deployment.
- Develop analysis and automation tools for network traffic, logs, and sensor data.
- Create clear interface guides, application notes, troubleshooting procedures, and technical documentation.
- Represent customer needs, technical risks, and priorities to product and R&D teams.
All you need is:
- BSc in Electrical Engineering, Computer Engineering, Computer Science, or a similar field.
- 3+ years of hands-on embedded-system integration or debugging experience.
- Strong system-level understanding of embedded software and hardware, including lab or vehicle bring-up.
- Strong knowledge of automotive networking, including Ethernet and CAN/CAN-FD; familiarity with UDP/TCP, SOME/IP, time synchronization, and packet analysis.
- Experience with automotive sensor integration and fusion concepts, including timing, calibration, coordinate frames, data integrity, and perception interfaces.
- Programming experience in Python and/or C/C++; MATLAB is an advantage.
- Strong communication, English, collaboration, and ownership.
- Automotive radar or RF experience is an advantage.
- Experience in client-facing roles - Advantage
- Hands-on experience using AI-assisted engineering tools - such as Cursor, Claude, Codex, or equivalent.
Skills Required
- BSc in Electrical Engineering, Computer Engineering, Computer Science, or similar
- 3+ years hands-on embedded-system integration or debugging experience
- Strong system-level understanding of embedded software and hardware, including lab or vehicle bring-up
- Strong knowledge of automotive networking including Ethernet and CAN/CAN-FD; familiarity with UDP/TCP, SOME/IP, time synchronization, and packet analysis
- Experience with automotive sensor integration and fusion concepts, including timing, calibration, coordinate frames, data integrity, and perception interfaces
- Programming experience in Python and/or C/C++
- MATLAB experience
- Strong communication, English, collaboration, and ownership
- Automotive radar or RF experience
- Experience in client-facing roles
- Hands-on experience using AI-assisted engineering tools (e.g., Cursor, Claude, Codex)
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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