Senior System Architect

Posted 7 Days Ago
Be an Early Applicant
Petah Tikva, ISR
Hybrid
Senior level
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Lead definition of high-level requirements and system architectures for automotive imaging radar. Drive cross-domain design (power, safety, security), improve radar KPIs, engage customers, and coordinate SW, algorithm, hardware, VLSI, and validation teams to ensure successful integration in automotive ADAS/autonomous systems.
Summary Generated by Built In
We are seeking a highly motivated and skilled Radar System Architect  to join our team, focusing on automotive imaging radar systems. This role is pivotal in bridging the gap between our cutting-edge radar technology and our automotive customers' evolving needs. As the key technical focal point, you will lead customer engagements, manage system-level requirements, define system architecture in multiple domains and ensure successful integration and performance of our radar solutions in real-world automotive applications.

What will your job look like?

  • Define high level requirements for cutting-edge, automotive imaging radar
  • Design System architectures and flows for critical functions, such as power management, safety monitoring and security
  • Research and architecture for improving Radar KPI's and capabilities
  • Engage with customers, analyze and understand customer requirements
  • Work closely with SW, Algo, HW, VLSI and validation teams

All you need is:

  • B.Sc. in Electrical Engineering, Systems Engineering, or a related field. M.Sc - advantage
  • 5+ years of experience in system architecture of complex multi-disciplinary systems or chip architecture
  • Proven experience in defining high level system requirements and translating them to lower level specifications for software\VLSI teams
  • Strong verbal and written communication skills
  • Experience with automotive or radar domain, security, ISO 26262, ASPICE, or other automotive standards - advantage
  • Background in ADAS or autonomous driving systems - advantage

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!

Skills Required

  • B.Sc. in Electrical Engineering, Systems Engineering, or related field (M.Sc. advantageous).
  • 5+ years experience in system architecture of complex multi-disciplinary systems or chip architecture.
  • Proven experience defining high-level system requirements and translating them to lower-level specifications for software and VLSI teams.
  • Strong verbal and written communication skills.
  • Experience with automotive or radar domain, security, ISO 26262, ASPICE, or other automotive standards.
  • Background in ADAS or autonomous driving systems.
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The Company
HQ: Jerusalem
3,700 Employees

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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