Experienced Software Developer – REM Validation
Mobileye · Jerusalem, Israel ·
- Work mode
- Hybrid
- Employment
- Full time
- Category
- Software engineering
- Experience
- 3+ years
Mobileye · Jerusalem, Israel ·
Rolling Arrays Technologies · India
wayve · Sunnyvale, California USA
Remesh · Remote (US)
Genesys · Durham (Flexible)
Builds validation infrastructure, tools, and end-to-end processes for Mobileye's REM mapping and localization engine, analyzing large-scale data in the cloud and integrating algorithms from other R&D groups. Core stack is Python (Pandas/NumPy/SciPy), cloud/distributed processing, and heavy daily use of AI coding assistants.
You'll join Mobileye's REM (Road Experience Management) department. REM is an end-to-end mapping and localization engine that supports full autonomy capabilities and services.
Building validation processes and methods for a technology of this scale is challenging, meaningful and rewarding work. The system is complex and based on machine learning and image processing, so analysis and validation take deep thinking and strong technical and analytical skills. You'll develop validation infrastructure, tools and methods using cutting-edge technology and cloud-based applications. We use AI wherever it helps: to automate routine work, improve code quality and make our development process more efficient.
B.Sc. in Computer Science, Software Engineering or a related field.
3+ years of hands-on software development, with Python in production (Pandas, NumPy, SciPy, etc.).
Good coding practice: Git, testing, CI/CD.
Daily, hands-on use of AI coding assistants and agents (e.g., GitHub Copilot, Claude Code, Cursor).
A critical eye for AI output: reviewing, testing and checking AI-generated code and results.
Strong analytical skills, with broad vision and technical depth.
Good communication and teamwork across groups.
Fluent English.
Experience automating development and data workflows with LLM-based tools and agents.
Knowledge of descriptive statistics, probability and statistical inference.
Geometry or geospatial work (Shapely, GeoPandas, coordinate systems).
Cloud and distributed processing (AWS S3/Athena, SQL, Spark/PySpark).
Computer vision, ML or mapping/localization.
Dialpad · Vancouver, Canada