Software Engineer – Data Infrastructure
Summary
Build and optimize cloud-based data pipelines and distributed systems to process and serve large-scale vehicle fleet data for self-driving AI models.
Responsibilities
- Work on high-impact projects and innovate new solutions to problems in the self-driving space.
- Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space.
- Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.
- Build efficient data pipelines for ingestion from the vehicle fleet.
- Work on distributed systems that serve, process and transform large quantities of data in the cloud.
Requirements
- Extensive experience in Python (or other object-oriented language).
- Experience building reliable, distributed applications for Data Processing or similar areas.
- Working with RPC protocols such as gRPC/protobuf.
- Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure).