Robotics Data Engineer/Remote

Job Title: Robotics Data Engineer

Location: Remote

Job Summary:

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.

Key Responsibilities:

• 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

Required Skills & Qualifications:

• 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 Google Cloud Platform)

• Knowledge of Linux/Unix environments

Preferred Qualifications:

• 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

Soft Skills:

• Strong analytical and problem-solving skills

• Ability to collaborate with cross-functional teams

• Effective communication and documentation skills

• Adaptability in fast-paced, innovative environments

Education:

• Bachelor’s or Master’s degree in Computer Science, Robotics, Data Engineering.

Nice to Have:

• Experience with simulation tools (Gazebo, Webots, etc.)

• Understanding of autonomous systems and robotics algorithms

• Prior experience in research or robotics-focused organizations