System Hardware Architect

Microsoft
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Domain Controllers Computer Engineering Software Debugging Ethernet Failure Mode Effects Analysis PCI Express ISO/IEC 15504 Software Requirements Analysis Systems Architecture Data Logging

Job description

  • 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

Requirements

  • 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.
  • 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

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!

About the company

Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids. Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.

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