Software Execution Project Manager
About this role
Mobileye's Platform Software department is looking for a highly driven Software Execution Program Manager to lead the execution of complex, cross-functional software portfolio supporting ADAS and autonomous-driving projects.
In this role, You will connect strategy with day-to-day execution, turn technical roadmaps into integrated plans, drive release readiness, and ensure transparent management of dependencies, risks, quality and delivery.\nWhat will your Job look like?- Build and maintain integrated plans that translate the department portfolio roadmap into clear milestones, ownership, dependencies, resource needs and measurable delivery commitments.
- Own end-to-end execution of complex platform software programs across multiple development, integration, infrastructure and validation groups - from planning and prioritization through integration, qualification and release.
- Drive release and branch-out readiness, including branch health, promotions, release-note alignment, readiness reviews, retrospectives and closure of follow-up actions.
- Establish execution governance, standards and operating cadences; maintain reliable status, and provide concise, decision-oriented reporting to department leadership.
- Proactively manage risks and blockers across software, system, development-infrastructure, test and customer-program stakeholders; drive escalation, decisions and closure when ownership is unclear.
- Coordinate system-level integration and validation across software components, hardware targets, ensuring readiness is demonstrated against agreed requirements and acceptance criteria.
- Improve execution through automation and modern tooling, including automated reporting, live status views and AI-assisted workflows that reduce manual effort and improve data quality.
- Partner closely with platform software group leaders, technical project managers, architects and system engineers to challenge plans constructively, support prioritization and enable timely trade-off decisions.
- Bachelor's degree in Engineering, Computer Science or another relevant technical field.
- 5+ years of experience in technical project/program management in a complex software development environment.
- Solid understanding of the software-development lifecycle, integration and validation, CI/CD, release management and configuration or branch management.
- Experience in system engineering, requirements management, verification and cross-layer hardware-software integration.
- Proven ability to lead through influence, align diverse stakeholders, resolve ambiguity and drive decisions and commitments without direct authority.
- Strong planning, risk-management and problem-solving capabilities, with the ability to understand technical details while maintaining a portfolio-level view.
- Hands-on experience with Jira, Confluence, dashboards and execution metrics; experience automating reporting or workflows is an advantage.
- Excellent written and verbal communication and stakeholder-management skills; fluent English and Hebrew - advantage.
- Experience in automotive, autonomous-driving, embedded or safety-critical software development - advantage.
- Knowledge of Automotive SPICE (ASPICE), functional safety, cybersecurity or similar software-quality frameworks - advantage.
- Experience managing large-scale platform releases, build and promotion flows, test farms, hardware bring-up or multi-environment validation - advantage.
- Background working with distributed teams and highly interdependent technical programs - 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!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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