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Mobileye
Mobileye
1,001 – 5,000 Employees
H1B Visa SponsorArtificial IntelligenceAutomotiveManufacturing
Mobileye develops advanced driver-assistance systems and autonomous driving technology for the automotive industry. The company combines computer vision, artificial intelligence, proprietary hardware, and software to support vehicle safety across applications ranging from driver assistance to autonomous operation. Its systems have been deployed in more than 190 million vehicles, reflecting Mobileye’s role in bringing vision-based automotive technologies to large-scale production.
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Experienced Backend Developer, Cloud Infrastructure — Mobileye, Hybrid Israel

Build Mobileye’s hyperscale AWS and Google Cloud infrastructure for autonomous-vehicle data and safety systems. Develop Python cloud services and high-throughput batch-processing pipelines.

ILIsraelHybridFull-timeJuniorMiddleEnglish RequiredCloud Engineer
AWSCloudDockerDynamoDBEC2GoKubernetesLinuxPythonRedisTerraform

Description

  • Design, develop, deploy, and maintain Mobileye’s core cloud systems
  • Build backend services and Python packages
  • Create hyperscale batch-processing frameworks that launch hundreds of thousands of parallel CPU workloads
  • Develop systems for ingesting, storing, and managing exceptionally large volumes of camera and sensor data
  • Collaborate with Algorithms, Software, and Validation teams
  • Deliver high-quality products developed entirely by the team
  • Partner with AWS teams to bring services including S3, EC2, Spot, EBS, ECS, Batch, and DynamoDB to the edge
  • Build infrastructure and tooling with AWS Lambda, RDS, CloudFormation, Terraform, and related technologies
  • Develop infrastructure for autonomous-vehicle and automotive safety systems

Requirements

  • Bachelor’s degree in Computer Science or Engineering
  • At least two years of Python development experience, including advanced Python packages
  • Backend development experience with databases, Elasticsearch, Redis, or similar technologies
  • Experience building high-scale systems is an advantage
  • Experience with Docker, Kubernetes, and AWS cloud services is an advantage
  • Experience with Go is an advantage
  • Strong hands-on experience developing and operating high-throughput, large-scale batch-processing pipelines on AWS, such as AWS Batch, ECS/EKS, or serverless platforms
  • Solid low-level Linux and operating-system knowledge, including memory management, system calls, process execution, binary inspection with tools such as ldd, strace, and readelf, and performance troubleshooting
  • Proficiency in system-level scripting and infrastructure automation, with deep knowledge of optimizing CPU, memory, and storage utilization at scale

Benefits

  • Work alongside experienced developers, architects, and AWS specialists
  • See your work used by hundreds of users, with improvements, optimizations, and features contributing directly to autonomous-vehicle development and automotive safety

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