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Mobileye
Mobileye
1001 – 5000 Darbinieki
H1B vīzas sponsorsAutobūveMākslīgais intelektsRažošana
Mobileye izstrādā progresīvas autovadītāja palīdzības sistēmas un autonomās braukšanas tehnoloģijas automobiļu nozarei. Uzņēmums apvieno datorredzi, mākslīgo intelektu, paša izstrādātu aparatūru un programmatūru, lai atbalstītu transportlīdzekļu drošību risinājumos, kas aptver gan autovadītāja palīdzību, gan autonomu braukšanu. Uzņēmuma sistēmas ir ieviestas vairāk nekā 190 miljonos transportlīdzekļu, apliecinot Mobileye nozīmi uz redzi balstītu automobiļu tehnoloģiju ieviešanā plaša mēroga ražošanā.
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Vakances uzņēmumā

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.

ILIzraēlaHibrīdiPilna slodzeJaunākais speciālistsVidējais līmenisNepieciešamā Valoda: angļuMākoņinženieris
AWSDockerDynamoDBEC2GoKubernetesLinuxMākonisPythonRedisTerraform

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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