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.
Why UVeye
Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
Skills Required
- Experience with sensor data formats
- Track record building data pipelines
- Familiarity with ML training workflows
- Experience with ROS or ROS 2
- B.Sc. Computer Science or related field
What We Do
UVeye is a computer vision tech company that develops automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware. Founded in 2016 by Amir and Ohad Hever, our systems have been installed at 100+ sites, including vehicle manufacturers, dealerships, fleet companies, logistical centers, energy, financial, diplomatic, and other sensitive security facilities. In 2019, Toyota Tsusho and Volvo headlined a $31M Series B, joining W.R. Berkley and F.I.T Ventures. In 2021, UVeye secured its Series C round from strategic investors like CarMax and Hyundai Motors, bringing UVeye to a grand total of over $90M in investment capital. As of March 2022, Volvo announced an expansion to their partnership with a long-term program aiming to install UVeye devices in all of its North American dealerships. Each day we are making an impact with technology by harnessing the power of AI to detect vehicle issues or security-related threats in the undercarriage before they cause fatalities. Our mission, every day, is to raise the standard of vehicle inspections to help create better mobility and safer roads.
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