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Backend Team Lead - REM Engineering

Mobileye • Processors, MCUs & AI Chips • Autonomous Driving • Python • JavaScript • Node JS • 5 months ago

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Salary

≈ $83k – $247k per year (Estimated)

Location

Hybrid (Jerusalem, Israel)

Seniority

Staff · 5+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 19, 2026. Mobileye scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Mobileye

Mobileye is an Israeli company founded in Jerusalem in 1999 by the computer scientist Amnon Shashua and the entrepreneur Ziv Aviram, built on the then-contrarian idea that a single camera and clever software could handle driver assistance without radar or lidar. Its EyeQ system-on-chip has shipped in more than two hundred million vehicles, making it the dominant supplier of vision-based driver assistance to the global car industry. Acquired by Intel for fifteen billion dollars in 2017 and returned to public markets in 2022, the company now sells escalating tiers from basic assistance through the SuperVision and Chauffeur hands-off systems up to the fully driverless Mobileye Drive platform.

mobileye.com • HQ: Jerusalem, Israel • Automotive Components • Computer Vision • Processors, MCUs & AI Chips • Autonomous Driving • 1001-5000 employees • Est. 1999

Tech stack of Mobileye

As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for Mobileye’s Road Experience Management (REM) platform. Your team is responsible for capturing, processing, and validating massive streams of crowdsourced data from millions of vehicles worldwide in real time.This is a hybrid leadership and technical role. You will lead a squad of engineers while remaining hands-on in architecting resilient, ultra-high-throughput distributed systems that power the future of autonomous driving and advanced mapping.

What will your job look like:

Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery.
Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency.
Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning.
Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs).

All you need is:

2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment.
5+ years of deep backend experience building high-scale, distributed cloud architectures.
Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent).
Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes).
Proficiency in Node.js and/or Python.
Solid understanding of high performance relational/NoSQL databases.
Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats).