Top Tech Jobs & Startup Jobs

Own the architecture of complex embedded computing platforms from product definition through production. Translate customer needs into system architectures, interfaces, requirements, functional decompositions, and hardware-software partitions. Lead cross-domain decisions spanning compute, memory, networking, power, boot, diagnostics, security, monitoring, safety, and integration. Analyze performance and reliability constraints, identify risks, and drive mitigations across multidisciplinary engineering teams, customers, and technology partners.

Define and lead architectures for complex embedded computing platforms across hardware, software, SoCs, networking, memory, storage, power, diagnostics, security, and updates. Translate product needs into requirements, interfaces, functional decomposition, and hardware/software partitioning. Drive cross-functional technical decisions, analyze performance and reliability, identify risks, and resolve multidisciplinary issues throughout integration, validation, and production.

Own the architecture of complex embedded computing platforms from product definition through production. Translate customer needs into system architectures, requirements, interfaces, and hardware/software partitioning. Lead cross-domain decisions spanning compute, memory, networking, power, boot, diagnostics, security, safety, and monitoring. Analyze performance and reliability, identify risks, drive mitigations, and align multidisciplinary engineering teams, customers, and technology partners.

Provide executive support to the VP Operations and leadership team: manage calendars, travel, meetings, prepare agendas/presentations, coordinate division-wide activities and events, track action items, improve administrative workflows, and handle confidential information. Role is on-site at the Jerusalem campus five days per week.

Lead Mobileye’s Release Management team and oversee end-to-end ADAS and autonomous vehicle software releases. Responsibilities include defining release processes, coordinating cross-functional planning, managing governance and readiness reviews, tracking risks and KPIs, resolving blockers, improving automation and delivery pipelines, and developing release management professionals.

Own end-to-end autonomous-vehicle data management, annotation workflows, scenario analysis, failure investigation, data collection campaigns, and automation pipelines. Manage large-scale driving datasets, improve data quality and annotation efficiency, support mass-production validation, and coordinate data standards with global cross-functional teams.

Design, develop, and deploy deep learning algorithms and semantic understanding engines for HD mapping and automotive perception. Lead end-to-end projects from research and prototyping to training, evaluation, integration, and scalable deployment using large-scale driving datasets. Collaborate across teams to improve model accuracy, robustness, and runtime efficiency.

Design and implement software to optimize deep learning models (quantization, pruning, compression) for efficient inference on low-power automotive hardware. Develop in Python and PyTorch, collaborate with algorithm teams, run literature research and POCs, and support full software lifecycle including testing and CI/CD.

Lead technical planning, execution, and delivery of ADAS production programs for automotive customers. Responsibilities include coordinating stakeholders, communicating technical requirements, organizing workshops and testing, removing delivery obstacles, facilitating decisions, defining program metrics, resolving conflicts, and improving processes. The role requires customer-facing technical project management experience, strong communication and organizational skills, an engineering or computer science degree, and fluency in English and Hebrew.

Leads Mobileye’s Release Management team and oversees end-to-end software releases for ADAS and autonomous vehicle products. Owns release planning, schedules, dependencies, risk mitigation, governance, readiness criteria, stakeholder communication, metrics, documentation, and continuous process improvement. Manages Release Managers and partners with engineering, QA, product, integration, and program teams. Drives automation, CI/CD, configuration management, and DevOps best practices across complex software delivery environments.