What will your job look like:
- Collaborate with algorithm developers to research, develop, and deploy machine learning models at a large scale.
- Leverage Mobileye's data sources and cloud computing to build an infrastructure that process terabytes of data to improve our machine learning models.
- Perform software research, development, evaluation, and optimization.
- Design and implement large scale systems.
All you need is:
- B.Sc. in Computer Science / Engineering.
- 2+ years of software development experience.
- Strong coding skills in Python.
Nice to have:
- Experience with CI/CD pipelines.
- Experience with Docker containers.
- Experience with Data Engineering, Big Data Pipelines in cloud.
Skills Required
- B.Sc. in Computer Science or Engineering
- 2+ years of software development experience
- Strong coding skills in Python
- Experience with CI/CD pipelines
- Experience with Docker containers
- Experience with Data Engineering and Big Data pipelines in cloud environments
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.
Gallery







