Robotics Ops Engineer

At UVeye, we’re on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world’s first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning machine learning, GenAI, and computer vision across the automotive sector.

With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.

We are looking for an experienced Robotics Ops Engineer to design and operate the data engine that fuels UVeye’s robotics program. You will own the pipeline that captures, curates, and serves multi-modal robotic data so the team can iterate on perception and policy models quickly and reliably.

A day in the life and how you’ll make an impact

• Build synchronized, multi-sensor data collection pipelines from teleoperation and autonomous robot runs.
• Design scalable storage, indexing, versioning, and access patterns for terabyte-scale multi-modal datasets (video, point clouds, IMU, audio).
• Implement automated quality checks, dataset slicing tools, and curation flows that target the model’s current failure modes.
• Build labeling pipelines and integrations with annotation vendors and internal tooling.
• Stand up sim-data integration so synthetic and real data can be mixed cleanly in training.
  
  

• Experience with sensor data formats (rosbag, MCAP, parquet) and multi-modal datasets.
• Track record building data pipelines that scale to large multi-modal training sets.
• Familiarity with ML training workflows and the data needs of perception and policy models.
• Experience with simulation data and ROS or ROS 2, an advantage.
• B.Sc. Computer Science, Electrical Engineering, or a related field.