Senior Platform 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 & infrastructure 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 All you need is: 4+ years of experience in software development, with a strong backend and/or infrastructure 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 or Node.js 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
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