We are looking for a Software Engineer to join our Object Detection group and play a key role in managing and enabling data workflows that power our computer vision algorithms.
Our team generates and processes large volumes of diverse data from multiple sources, and we need someone who can bridge the gap between raw data and algorithmic innovation. Working alongside algorithm developers and researchers, you'll be responsible for building robust data pipelines, ensuring data quality, and making complex datasets accessible and actionable for our detection models.
This role requires both strong coding abilities and a deep understanding of data - you'll need to think like an engineer while understanding the unique needs of a research and development-focused algorithmic group. A significant portion of the work is highly independent, meaning you will be expected to drive projects end-to-end, taking full ownership from understanding the initial problem and modeling the solution to executing and delivering it yourself.
What will your job look like:
- Design, build, and write the underlying code for large-scale systems handling diverse data from multiple sources
- Build and maintain robust data pipelines that enable algorithmic development
- Evaluate various optional technologies and take part in decision-making
- Own key features and services within the data infrastructure
- Ensure data quality and accessibility for detection models and research needs
All you need is:
- BSc. in Computer Science or equivalent - must
- 2+ years of software development experience
- Proven ability to write high-quality, production-grade Python code (understanding of OOP, modularity, and system design)
- Deep understanding of complex data structures, massive ETL processes, and data workflows
- Experience with databases (SQL/NoSQL)
- Experience with modern Data Lakehouse architectures and table formats (e.g., Apache Iceberg, Parquet)
- A solid understanding of Machine Learning (ML) concepts and principles
- Experience integrating and utilizing ML models within data workflows and production pipelines
- Familiarity with MLOps practices or working alongside algorithm and research teams
Advantages:
Skills Required
- Bachelor of Science in Computer Science or equivalent degree
- At least 2 years of software development experience
- Production-grade Python development, including object-oriented programming, modularity, and system design
- Deep understanding of complex data structures, large-scale ETL processes, and data workflows
- Experience with SQL or NoSQL databases
- Experience with modern Data Lakehouse architectures and table formats such as Apache Iceberg or Parquet
- Understanding of machine learning concepts and principles
- Experience integrating and using machine learning models in data workflows and production pipelines
- Familiarity with MLOps practices or collaboration with algorithm and research teams
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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