Lead Robotics Data Engineer: Scalable Physical AI

Truth Robotics; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Truth Robotics in the San Francisco Bay Area seeks a Senior Robotics Data Engineer to design, build, and maintain data pipelines and infrastructure for evaluating physical AI and robotic systems.

You will ingest robot telemetry and transform raw sensor data into reliable datasets, implement ETL workflows, and collaborate with robotics engineers, ML engineers, and product teams to ensure scalable, secure data platforms.

Qualifications

• Strong skills in data engineering disciplines, including Data Engineering and Data Warehousing, to build robust data infrastructure and pipelines.
• Proficiency in Data Modeling and ETL processes to design efficient schemas and transform complex robotics data into structured formats.
• Experience using Data Analytics to derive insights from robot telemetry and sensor data, and to support performance, safety, and compliance evaluations.
• Hands-on experience with modern data technologies (e.g., SQL/NoSQL databases, distributed data processing frameworks, data pipeline orchestration tools).
• Proficiency in a programming language commonly used for data engineering (e.g., Python, Scala, or Java) and familiarity with cloud-based data platforms.
• Background in or strong interest in robotics, autonomous systems, or physical AI, including working with real-world sensor and telemetry data.
• Demonstrated ability to collaborate with cross-functional engineering teams, communicate clearly about data requirements, and document systems and workflows.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related technical field, or equivalent practical experience.

Responsibilities

• Design, build, and maintain data pipelines and infrastructure that support evaluation of physical AI and robotic systems.
• Ingest robot telemetry, transform raw sensor data into reliable datasets, and define data requirements.
• Implement ETL workflows, optimize data storage and retrieval, and ensure data quality.
• Develop tools and metrics to measure robot performance, safety, and compliance.
• Contribute to architecture of data platforms that integrate with customers’ stacks, ensuring scalability, reliability, and security.
• Collaborate with robotics engineers, ML engineers, and product teams across engineering and product functions.

Skills

Data engineering

Data warehousing

ETL processes

Data modeling

SQL/NoSQL databases

Distributed data processing frameworks

Data pipeline orchestration tools

Python

Scala

Java

Cloud-based data platforms

Robotics/physical AI interest

Cross-functional collaboration

Documentation

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, Robotics, or related field

Tools

SQL/NoSQL databases

Distributed data processing frameworks

Data pipeline orchestration tools

Python

Scala

Java

Cloud-based data platforms

Job description

Truth Robotics in the San Francisco Bay Area seeks a Senior Robotics Data Engineer to design, build, and maintain data pipelines and infrastructure for evaluating physical AI and robotic systems.

You will ingest robot telemetry and transform raw sensor data into reliable datasets, implement ETL workflows, and collaborate with robotics engineers, ML engineers, and product teams to ensure scalable, secure data platforms.