ECU Design Verification System Architect

Are you passionate about building verification strategies for complex embedded systems? Do you enjoy defining the big-picture verification architecture and driving alignment across teams and suppliers?

Mobileye is at the forefront of developing autonomous driving systems with leading OEMs, by integrating Mobileye state-of-the-art ECUs into various vehicles. We are developing advanced automotive ECUs for next-generation vehicle functions. Our programs require a robust end-to-end verification strategy that ensures design correctness, safety, and performance across complex HW/SW systems and multiple suppliers

In this role, you will own the system-level verification architecture for our ECU designs—from defining the verification concept and traceability, through specifying verification environments and evidence, to leading technical alignment across hardware, embedded software, and validation teams. You’ll collaborate with architects, design engineers, verification leads, and suppliers to deliver high-quality ECU platforms to OEMs and Tier 1s. Your work will directly influence product quality, time-to-market, and readiness for customer reviews and audits.

What will your job look like?
Define the ECU verification architecture: Build the end-to-end verification concept covering component, subsystem, and system levels, including entry/exit criteria and quality metrics
Own requirements traceability and coverage: Ensure bidirectional traceability from system requirements to design artifacts and verification evidence; define and track coverage (functional, interface, diagnostic, and safety-related)
Specify verification environments and tooling: Define test environment architecture, logging/trace strategy, fault injection approach, and tool qualification expectations; align on reusable frameworks and standards across programs
Drive cross-functional technical alignment: Work with HW, embedded SW, system architects, and validation leads to ensure designs are verifiable (DFV), interfaces are testable, and assumptions are reviewed and documented
Lead verification planning for customer programs: Translate OEM/Tier 1 needs into verification requirements and deliverables; support technical reviews and audits with clear evidence packages
Own risk management and escalation: Identify verification gaps and high-risk features; propose mitigation plans and drive execution across teams
All you need is:
B.Sc. in Electrical Engineering / Computer Engineering / Computer Science (M.Sc. – advantage)
3+ years of Experience in System Architecture with strong knowledge in writing system and software requirements
5+ years of experience in system verification / design verification / validation for embedded automotive or similar safety-critical systems
Proven experience defining verification strategy and plans across multiple levels (component, subsystem, system), including coverage and quality KPIs
Strong understanding of ECU architecture: MCUs/SoCs, memory, power, networking (CAN/CAN FD, Automotive Ethernet), diagnostics (UDS), boot and update flows
Experience supporting OEM/Tier 1 technical reviews, assessments, and audits with structured evidence packages
Excellent communication and stakeholder management skills; ability to lead without authority across R&D, suppliers, and customers
Familiarity with System methodologies: Including customer requirements elicitation, analysis, specification, validation, and traceability
Experience with Autosar Classic/Adaptive and related tooling/ecosystems - advantage
Experience with requirements and traceability tools (e.g., DOORS/ Polarion) and with structured review processes and documentation - advantage
Knowledge of automotive standards and safety mindset (ASPICE, ISO 26262) - 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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.