Mobileye
Mobileye
„Mobileye“ kuria pažangias vairuotojo pagalbos sistemas ir autonominio vairavimo technologijas automobilių pramonei. Įmonė derina kompiuterinę regą, dirbtinį intelektą, patentuotą aparatinę įrangą ir programinę įrangą, kad užtikrintų transporto priemonių saugumą įvairiose srityse – nuo vairuotojo pagalbos iki autonominio vairavimo. Jos sistemos įdiegtos daugiau nei 190 milijonų transporto priemonių, o tai atspindi „Mobileye“ vaidmenį diegiant rega pagrįstas automobilių technologijas masinėje gamyboje.

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.

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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