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 Research Scientist, Sensing to push UVeye’s inspection beyond today’s sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that today’s systems cannot see.
A day in the life and how you’ll make an impact
- Survey emerging sensing technologies and identify the modalities most likely to expand UVeye’s defect coverage.
- Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
- Run controlled experiments that benchmark new modalities against today’s inspection stack on shared defect scenarios.
- Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
- Recommend which modalities graduate into product and partner with R&D and product on integration.
- 4+ years of experience in sensor-based ML, computer vision, or signal processing.
- Hands-on with at least one non-RGB modality (thermal, depth, radar, lidar, hyperspectral, acoustic, or event-based) and modality-specific model design.
- Strong Python and deep learning frameworks (PyTorch or TensorFlow).
- Experience designing experimental protocols and building datasets from scratch.
- Comfortable working with new hardware, vendors, and physical setups.
- Publications or patents in sensing, perception, or related fields, an advantage.
- M.Sc./Ph.D. in Electrical Engineering, Computer Science, Physics, or a related field, a strong advantage.
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
- 4+ years of experience in sensor-based machine learning, computer vision, or signal processing
- Hands-on with at least one non-RGB modality (thermal, depth, radar, lidar, hyperspectral, acoustic, or event-based)
- Strong Python and deep learning frameworks (PyTorch or TensorFlow)
- Experience designing experimental protocols and building datasets from scratch
- M.Sc./Ph.D. in Electrical Engineering, Computer Science, Physics, 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.
