Robotics Data Engineer
100% Remote
We are seeking a Robotics Data Engineer to design, build, and manage data pipelines and infrastructure for robotic systems. This role focuses on handling large volumes of sensor and operational data to enable analytics, machine learning, and real-time decision-making in robotics applications.
Design and develop scalable data pipelines for robotic sensor data (LiDAR, camera, IMU, etc.)
Process and transform structured and unstructured data from robotic systems
Build data ingestion frameworks for real-time and batch processing
Collaborate with robotics engineers and ML teams to support model development
Optimize data storage and retrieval for high-performance applications
Implement data quality, validation, and monitoring processes
Integrate data systems with cloud platforms and edge computing environments
Support simulation and testing environments with relevant datasets
Ensure data security, governance, and compliance
Strong programming skills in Python (preferred) or Java/Scala
Experience with data engineering tools (Apache Spark, Kafka, Airflow)
Knowledge of databases (SQL and NoSQL systems)
Experience handling time-series and sensor data
Familiarity with robotics middleware (ROS/ROS2 is a plus)
Understanding of data modeling and ETL/ELT processes
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of Linux/Unix environments
Experience working with robotic systems (autonomous vehicles, drones, industrial robots)
Familiarity with computer vision or perception data pipelines
Exposure to machine learning workflows and MLOps
Experience with big data storage solutions (S3, HDFS, Delta Lake)
Knowledge of real-time streaming and edge processing
Strong analytical and problem-solving skills
Ability to collaborate with cross-functional teams
Effective communication and documentation skills
Adaptability in fast-paced, innovative environments