Senior Data Engineer
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should possess 5+ years of professional experience as a data pipeline engineer, holding a Bachelor’s or Master’s degree in Computer Science or a related field, and demonstrating expertise with distributed data processing frameworks such as Spark, Flink, or Beam, along with proficiency in Java, Python, or Go. Experience with AWS services and cloud-native backend software development is preferred, and familiarity with Kubernetes is considered a strong asset.
The Senior Data Pipeline Engineer will be responsible for designing, building, maintaining, and monitoring scalable data pipelines within the cloud infrastructure, designing and building self-service data platform infrastructure and backend services, writing high-quality, maintainable code, mentoring junior engineers through system design and code reviews, communicating with stakeholders to identify system requirements, and taking ownership of reliable and efficient data pipelines in a fast-paced, continuous delivery environment.
Develops fully driverless robotaxis for urban transport
Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.