Autonomous Driving Data Management Tech Lead - Managed

28 May 2024

Vacancy expired!

Autonomous Driving Data Management Tech Lead - Managed AI

We are seeking a highly skilled Data Management Engineer with experience in the autonomous driving industry to join our team. The ideal candidate will have a strong background in data management, analytics, and data pipeline development, as well as a solid understanding of machine learning and artificial intelligence. The candidate will be able to design, implement and maintain data management systems for our autonomous driving systems.

Responsibilities:

  • Design, implement, and maintain data management systems for autonomous driving systems, with a focus on utilizing ML and AI techniques
  • Collect, process, and store large amounts of sensor data, including lidar, radar, and cameras
  • Create and maintain data pipelines for data collection, processing, and storage
  • Collaborate with development and research teams to ensure smooth data flow and integration with other systems
  • Continuously improve data management systems through monitoring, performance tuning and cost optimization
  • Ensure compliance with security and regulatory requirements
  • Troubleshoot and resolve issues related to data management and pipeline
  • Provide technical guidance and support to other teams

Qualifications:

  • 6+ years' strong experience with data management, including data warehousing and data pipelines
  • 6+ years' strong experience with data analytics and visualization tools
  • 6+ years' experience with big data technologies such as Hadoop, Spark, and Hive
  • 6+ years' experience with SQL and NoSQL databases
  • 6+ years' experience with programming languages such as Python, Java, and Scala
  • 6+ years' experience with cloud-based data management solutions, such as AWS Glue, Redshift, and S3
  • Bachelor's degree in Computer Science, Engineering or related field
  • Ability to travel up to 30%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preference will be given to candidates with:

  • Strong understanding of security best practices and compliance requirements
  • Experience with autonomous driving systems is a plus
  • Strong communication and collaboration skills
  • Strong understanding of machine learning and artificial intelligence techniques
  • Experience with popular machine learning frameworks such as TensorFlow, PyTorch and scikit-learn
  • Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA and cuDNN.
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