Robotics Teleoperation Engineer: Data Pipeline Architect

general robotics corporation; Redmond (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

General Robotics in Redmond, WA, is seeking Robotics Engineers to create a Data-Collection Engine powering model training and deployment. You will own both software and hardware of the teleoperation pipeline, generating large quantities of high-quality data across robot arms and mobile platforms.

Collaborate with teleoperators to improve data quality and throughput, design data-processing pipelines, define metrics for "good data", and contribute to publications and open-source efforts while

Qualifications

• Bachelor's degree as stated in minimum qualifications.
• Experience in ML, robotics, and CV.
• Production-ready Python; C++ and Rust are a plus.
• Work authorization required in US.

Responsibilities

• Rapidly design and fabricate electromechanical teleoperation devices to support research experiments and new data collection techniques.
• Design the software tooling needed to collect data for VLA training at scale, including both the interface for teleoperators and backend data-processing pipeline
• Define what "good data" means as concrete, measurable metrics and implement an automated pipeline that ensures data quality.
• Build data-augmentation and data adaptation pipelines to convert human video and video collected with less robot hardware into usable training data.
• Contribute to publications and open-source releases.
• Partner with customers to take manipulation capabilities from prototype to deployed product.

Skills

Python

C++

Rust

Machine learning

Robotics

Computer vision

Education

Bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or equivalent

MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field

Tools

ROS2

Zenoh

Job description

General Robotics in Redmond, WA, is seeking Robotics Engineers to create a Data-Collection Engine powering model training and deployment. You will own both software and hardware of the teleoperation pipeline, generating large quantities of high-quality data across robot arms and mobile platforms.

Collaborate with teleoperators to improve data quality and throughput, design data-processing pipelines, define metrics for "good data", and contribute to publications and open-source efforts while