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Note: This role can be based at any of Mobileye’s sites in Israel: Haifa, Jerusalem, Petah Tikva, or Tel Aviv.
Join Mobileye’s SoC Architecture team and help shape the next generation of EyeQ™-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications.
In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. You’ll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment.
- Shape Mobileye’s next-generation automotive compute platforms.
- Work across EyeQ™ SoCs, ADAS, autonomous driving, and Robotaxi technologies.
- Influence platform decisions from early concept through deployment.
- Collaborate with leading experts across hardware, software, SoC architecture, safety, and security.
- Solve complex multidisciplinary challenges that will shape future vehicle architectures.
What will your job look like:
- Define system hardware architectures for EyeQ™-based automotive compute platforms, reference systems, and customer configurations.
- Architect the integration of EyeQ™ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components.
- Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces.
- Translate product and customer needs into clear system requirements, interface specifications, and design guidelines.
- Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security.
- Influence EyeQ™ SoC requirements and drive platform BOM and component architecture.
- Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams.
- Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation.
- Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners
All you need is:
- B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field.
- 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products.
- Proven experience defining complex board-level and system-level hardware architectures.
- Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes.
- Experience with system block diagrams, interface specifications, product requirements, and reference designs.
- Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security.
- Strong system thinking and experience driving technical decisions across multiple engineering disciplines.
- Excellent written and verbal communication skills in English.
Nice to have:
- Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers.
- Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration.
- Knowledge of functional safety and ISO 26262.
- Knowledge of automotive cybersecurity and secure system architectures.
- Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA.
- Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners.
Skills Required
- B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field
- 8+ years of relevant experience in system hardware architecture, automotive electronics, embedded systems, semiconductor platforms, or complex SoC-based products
- Experience defining complex board-level and system-level hardware architectures
- Strong understanding of embedded and automotive compute platforms, including MCUs, memories, PCIe, Ethernet, CAN/CAN-FD, MIPI, camera connectivity, and automotive SerDes
- Experience with system block diagrams, interface specifications, product requirements, and reference designs
- Ability to drive architectural trade-offs across performance, bandwidth, cost, power, thermal constraints, board area, safety, and security
- Strong system thinking and experience driving technical decisions across multiple engineering disciplines
- Excellent written and verbal communication skills in English
- Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers
- Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration
- Knowledge of functional safety and ISO 26262
- Knowledge of automotive cybersecurity and secure system architectures
- Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA
- Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners
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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