Integration and Validation Architect

Join Mobileye’s hardware systems team to drive DV/PV software readiness for our AV-HW Tier 1 products. You’ll combine customer-facing technical leadership, detailed validation design and hands-on integration to secure internal acceptance and customer satisfaction with testability and coverage. What will your job look like You’ll lead customer technical reviews, present readiness and validation evidence, and resolve concerns about testability and coverage. You’ll translate customer expectations and system requirements into detailed integration plans, coverage, loads, diagnostics and monitoring requirements. You’ll define interfaces between DV/PV software, SoCs, test hosts, equipment and automation, guiding teams and suppliers through implementation and verification. You’ll bring up test setups, integrate hardware and software releases, and troubleshoot issues using measurements, logs and controlled experiments. You’ll use technical judgment to coordinate investigations and corrective actions across teams, and verify that issues are resolved. You’ll own technical documentation and customer review material, keeping coverage tables, procedures and reports aligned with demonstrated capabilities. You’ll accept or withhold technical readiness against agreed requirements and assess the validation impact of hardware and software changes. All you need is B.Sc. in Electrical Engineering or a related field. 5+ years of experience in hardware systems, embedded software and system integration. Practical integration and validation experience, strong lab skills, and the ability to turn requirements into testable capabilities. Hands-on Linux proficiency for accessing and troubleshooting SoCs, test hosts and devices using SSH, serial consoles, logs, configuration and process/service checks, and network diagnostics. Strong technical English and experience communicating findings and resolving questions with customers and technical partners. Python and Bash for automation, test execution, diagnostics and data analysis. Understanding of automotive hardware systems, including SoCs, power and thermal behavior, communication interfaces, embedded diagnostics and validation under environmental stress. 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.