Senior Ai Data Pipeline Engineer (autonomous Driving)

42dot

Sunnyvale, United States
Base: $133,000 - $254,000; bonus/equity: not speci...
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Python sdk development experience
Databricks workflows or apache airflow
Apache spark big data computing
** 42dot is seeking a Senior AI Data Pipeline Engineer to develop robust data processing pipelines for autonomous driving technologies. The ideal candidate will have extensive experience in data engineering and machine learning, contributing to the development of scalable data solutions within the automotive mobility sector. **

Job Summary

  • 42dot is the Global Software Center of Hyundai Motor Group, pioneering software-defined vehicles with a focus on safety-first autonomous driving technologies.
  • The role involves developing distributed systems to process millions of raw data scenes from collection fleets into high-value datasets for cutting-edge algorithms.
  • Engineers will build advanced data SDKs and maintain infrastructure components like data lakehouses to improve the efficiency of the entire ML model lifecycle.

Matching Summary

Match Score: 75

** 42dot is seeking a Senior AI Data Pipeline Engineer to develop robust data processing pipelines for autonomous driving technologies. The ideal candidate will have extensive experience in data engineering and machine learning, contributing to the development of scalable data solutions within the automotive mobility sector. **

Salary

Base: $133,000 - $254,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python SDK development experience
  • Databricks Workflows or Apache Airflow
  • Apache Spark big data computing
  • Delta Lake or Hive data architecture
  • MongoDB or PostgreSQL database skills

Nice-to-have

  • LiDAR, camera, radar sensor data experience
  • PyTorch or TensorFlow framework knowledge
  • Autonomous vehicle system architecture understanding
  • Data governance and privacy regulations expertise

Key Requirements

  • Bachelor's degree in Computer Science, Engineering, Robotics, or related field
  • Minimum 7 years of experience in Data Engineering, DataOps, or ML Platform roles
  • Solid hands-on experience with Python SDK development

Work Rights

Not specified

Tailored Resume

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