Senior Software Engineer & Tech Lead

You will be part of Mobileye's REM department, which is responsible for the automatic High-Definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems.

This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking.

We are seeking a Backend & Data Engineer to join our Innovation Team within our Mapping Division. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.

What your job will look like:

• Develop and maintain backend and data-processing components in large-scale systems
• Design, implement, and optimize data pipelines and distributed processing flows
• Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
• Optimize systems and code across multiple layers - from architecture to implementation
• Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
• Work across teams and domains, reading, improving, and refactoring existing code
• Take part in technical design and decision-making, balancing performance, scalability, and maintainability
  
  

• 3+ years of experience in software development, with a strong backend and/or data focus
• Experience building backend services (APIs) and working with databases and storage systems
• Experience using AI as a core part of the development workflow
• Hands-on experience with large-scale data processing and distributed systems
• Experience with Spark / PySpark - a strong advantage
• Experience with Python – advantage
• Strong understanding of performance optimization and system behavior (CPU, memory, concurrency)
• Proven debugging skills and ability to move from symptoms to root cause
• A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems