Autonomous Driving Data Management Tech Lead - Managed AI
Software Engineering, Data Science
Posted on Saturday, April 8, 2023
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.
- 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
- 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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