What will your job look like:
- Plan and manage execution across teams
- Manage timelines, validation, data readiness, integrations, and infrastructure work.
- Define KPIs and support roadmap planning.
- Help identify and resolve technical blockers.
All you need is:
- 3–5 Years in project/product management (development experience - advantage).
- Experience with deep learning development processes.
- Degree in Computer Science, or related fields.
- Excellent communication, organization, and collaboration skills and problem-solving skills.
- Experience with data engineering, or software development.
Skills Required
- 3-5 years project or product management experience
- Development experience (software development)
- Experience with deep learning development processes
- Degree in Computer Science or related field
- Excellent communication, organization, collaboration, and problem-solving skills
- Experience with data engineering
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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