Robotics Engineer (Night Shift)

present of AI; Greater London; Hybrid; GBP 25,000 - 39,000; Full time

Job summary

Humanoid is seeking a night-shift robotics operator to keep our humanoid platform and its data collection system running smoothly in Greater London. You will focus on reliability, automation checks, and quick diagnostics on the spot to minimise downtime.

The role emphasizes hands-on ROS and Linux work, robot calibration and sensor setup with the KinetIQ framework, and maintaining clean, well-labelled data pipelines for imitation learning research.

Qualifications

• Experience with ROS, Linux and data collection for ML.
• Calibrate and set up robots and sensors nightly.
• Strong hardware and software troubleshooting abilities.

Responsibilities

• Set up and calibrate robots and sensors nightly.
• Diagnose and fix hardware/software issues on the go.
• Keep datasets organized and reliable for learning.

Skills

ROS

Linux

Python

C++

Data pipelines

Data management

Tools

KinetIQ framework

Robot calibration tools

Job description

The job is about keeping a fleet of humanoid robots and its data collection system running through the night. A strong candidate can set up and calibrate robots and sensors, fix hardware and software problems quickly, and keep datasets organised and reliable for machine learning work. Solid hands on experience with ROS, Linux and running automated hardware matters more than deep coding.

How it fits the AI era

The role sits at the point where AI meets physical machines: the robots generate the data that trains imitation learning models, so steady uptime directly feeds the research. Much of the monitoring, calibration and record keeping can be partly automated, but fast diagnosis of a stalled robot or a broken sensor still needs a person on site. Judgement about what counts as a clean, repeatable run stays human.

How it builds AI experience

Working nightly with a humanoid platform and its KinetIQ framework gives direct exposure to how real robot data is captured, checked and labelled for training. That builds practical understanding of data pipelines for imitation learning and of the gap between lab setups and industrial environments. It is a strong base for later work in robotics operations or data engineering for embodied AI.

Worth showing

• ROS hands on use
• Robot calibration and setup
• Fast hardware troubleshooting

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Humanoid

Humanoid builds humanoid robots for industrial work, paired with its KinetIQ AI framework (per the company).

Tools mentioned: robotics, Python, C++, Linux, machine learning