Senior Robotics Data Engineer

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

Company Description

Truth Robotics focuses on establishing ground truth for evaluating physical AI systems and robotic agents. The company helps robotics teams understand the performance of their robots from initial data collection through real-world deployment. By integrating agentic safety and compliance directly into customer technology stacks, Truth Robotics enables teams to validate and demonstrate system reliability. The organization is dedicated to accelerating deployment timelines while ensuring that robots operate safely and meet rigorous standards. This mission-driven environment offers opportunities to work at the intersection of robotics, data, and safety-critical AI.

Role Description

As a Senior Robotics Data Engineer, you will design, build, and maintain data pipelines and infrastructure that support the evaluation of physical AI and robotic systems. You will work closely with robotics engineers, ML engineers, and product teams to define data requirements, ingest robot telemetry, and transform raw sensor and event data into reliable, usable datasets. Daily responsibilities include implementing ETL workflows, optimizing data storage and retrieval, managing data quality, and developing tools and metrics to measure robot performance, safety, and compliance. You will contribute to the architecture of data platforms that integrate with customers’ stacks, ensuring scalability, reliability, and security. This is a full-time, on-site role based in the San Francisco Bay Area, with significant hands-on collaboration across engineering and product functions.

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 Extract Transform Load (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.