Own the strategy, roadmap, and delivery of cloud and data services and AI-native tools, aligning engineering teams and OEM customers while shaping products that support autonomous-driving development.
Drive strategic technical leadership in hardware architecture and system-level decision making as a Senior Technical Lead, ensuring high-quality execution and innovation in Mobileye's AV systems.
Design and train cutting-edge deep learning models for Mobileye's autonomous vehicle technology, collaborating with software and hardware teams to create high-impact solutions.
Develop high-performance C++ embedded software for autonomous driving, building HD map infrastructure and algorithms while optimizing performance and reliability and guiding technical design across engineering teams.
Validate hardware–software systems by planning and executing manual and automated tests, building Python automation, investigating defects, and assessing product quality against system requirements.
Develop localization algorithms for autonomous driving, combining deep learning, computer vision, 3D geometry, and optimization to deliver precise, robust vehicle positioning from surround-camera data.
As a Senior Python Developer, you will lead the development and design of essential components for Mobileye's High-Definition map-making process, collaborating closely with algorithmic and engineering teams.
Develop real-time software for automotive platforms, owning features from design to maintenance while collaborating with multidisciplinary teams to enhance road safety.
As a Solution Architect, you will define system architecture, engage with customers, and lead cross-functional teams to drive innovation in autonomous vehicle technology.
Implement and maintain C++ codebases, integrate algorithmic modules with platform and vehicle systems, resolve bugs and system bottlenecks, and support CI/CD pipelines and AI development tools.
Research and develop deep learning models for 3D perception in autonomous vehicles, advancing multi-view fusion and spatial reasoning and bringing reliable perception systems from research into production.
Lead the product strategy and roadmap for next-generation autonomous driving products, translating customer needs and market trends into actionable product requirements.
As a Solution Architect, you'll define system architecture and drive innovation in autonomous vehicle technology, engaging with customers and leading cross-functional teams.
Lead applied computer vision research and develop end-to-end perception systems for autonomous driving, taking research from loosely defined directions through validated POCs toward production adoption.
Develop and maintain radar/lidar algorithms for autonomous driving, combining C++ and Python programming with computer vision and signal processing to solve emerging problems from research through production.
Validate ADAS products across hardware and software by developing and executing tests, analyzing system performance, troubleshooting issues, and supporting integration on development vehicles.
Develop computer vision and deep learning algorithms that localize autonomous vehicles on high-definition 3D maps, combining multi-camera data, geometric reasoning, and optimization for precise, robust driving.
Lead a dynamic team of integration and automation engineers to manage the integration of OS deliveries into Mobileye's software stack, ensuring quality and efficiency in the development process.
Lead the design and development of advanced Python-based test automation solutions for Mobileye's autonomous driving platform, mentoring engineers and ensuring compliance with industry standards.
Lead a team of integration and automation engineers to manage the integration of OS deliveries into Mobileye's software stack, ensuring quality and efficiency in the development process.
Lead a dynamic team of integration and automation engineers to manage the daily integration of OS deliveries into Mobileye's software stack, ensuring quality and efficiency.
Lead end-to-end program planning and execution for the REM Map Development organization, coordinating cross-functional teams to support next-generation autonomous driving technologies.
Lead the development of test content for autonomous vehicle systems, ensuring compliance with industry standards and implementing complex test solutions in a Python-based environment.
Develop algorithms for radar and lidar applications, solving real-world problems with computer vision and signal processing while maintaining products and taking new features from research toward production.
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