Описание

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

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

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!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Software Engineer - Data Infrastructure