Autonomous driving and ADAS platform built on vision and machine learning
Mobileye develops autonomous-driving and advanced driver-assistance systems centered on computer vision and machine learning. The stack is heavy on embedded C/C++, safety-critical tooling (AUTOSAR, MISRA C, QNX OS), and deep-learning frameworks (PyTorch, TensorFlow), with active work on Linux Kernel adoption—typical of a company scaling from perception into real-time decision-making and safety validation. The hiring mix is engineering-dominant (148 roles), with notable recent leadership additions in embedded, frontend, and generative AI, while internal pain points cluster around automotive safety compliance, validation efficiency, and bug escape reduction—the constraints of shipping safety-critical automotive software.
Notable leadership hires: Embedded Team Lead, Frontend Team Lead, GenAI Director
Mobileye designs autonomous-driving and driver-assistance technologies for vehicle platforms. The company operates across three primary product areas: vision-based ADAS (advanced driver-assistance systems), full self-driving stacks, and crowdsourced mapping (REM). Active projects span detection pipelines, decision-making modules, automotive safety OS, and multimodal learning frameworks. The org is structured around embedded and autonomous-systems engineering, with secondary capacity in data, research, and product. Based in Israel with hiring footprint across Germany, China, the United States, France, and South Korea, Mobileye serves OEMs and mobility providers integrating its technology into production vehicles and fleets.
C++ and C dominate the stack (embedded systems focus), with Python for ML workflows. Deep-learning work uses PyTorch and TensorFlow; automotive tooling includes AUTOSAR and MISRA C for safety compliance.
West Jerusalem, Israel. The company also hires in Germany, China, the United States, France, and South Korea.
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