Research Scientist, Sensing

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.