Senior System Hardware Architect
Jerusalem, Israel
R&D – Hardware /
Full time /
On-site
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.
Why Join Us?
- 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.
Advantages
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Experience with ADAS, autonomous-driving platforms, automotive compute systems, or domain controllers.
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Experience with automotive SoCs, sensors, high-speed interfaces, evaluation boards, or customer platform integration.
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Knowledge of functional safety and ISO 26262.
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Knowledge of automotive cybersecurity and secure system architectures.
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Familiarity with automotive standards and processes such as AEC-Q100, ASPICE, and FMEA.
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Experience working with OEMs, Tier 1 suppliers, semiconductor vendors, or external technology partners
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!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
