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ZooxZooxFoster City, CA

Software Engineer - Planner Frameworks Pipeline

Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.

192k – 241k/yr
Hybrid6+ YOEData Engineering

About the role

Responsibilities

  • Improve the cost efficiency, reliability, and performance of validation and simulation pipelines
  • Create production-grade APIs, SDKs, and tools to enable validations of autonomous behaviors
  • Improve ML training pipelines supporting the autonomous behavior org

Qualifications

  • Bachelor’s degree in Computer Science or related field and 6+ years of industry experience
  • Experience optimizing large-scale distributed systems for cost and efficiency
  • Experience with AWS or similar providers
  • Proficiency with Python and familiarity with C++

Bonus Qualifications

  • Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective
  • Background in algorithmic optimization or performance investigation
  • Experience with Ray.io, particularly Ray Core and Ray Data

Skills

PythonC++KubernetesRay.IoAWSDistributed SystemsMachine LearningRay CoreRay DataAPIs
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