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. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With over $200M 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 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

We are hiring a highly skilled and motivated application Engineer student to join our product and projects team and contribute to developing our automotive products.

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

• Become proficient in UVeye's multi-disciplinary inspection systems.
• Collaborate with R&D teams (Hardware, Software) to define and develop new capabilities that align with customer needs and expectations.
• Participate in the development of complex computer vision algorithms, encompassing both AI and Classic methodologies, for anomaly detection and stereo imaging applications.
• Collaborate with Customer Support and Engineering teams to facilitate the seamless transition of new products and processes from R&D to general availability readiness.
• Take ownership and lead both Alpha and Beta activities of new products and features at customer sites, both onsite and remotely.
• Lead R&D matrix work utilizing Agile methodology to ensure timely delivery of the product roadmap with uncompromised quality.

• Currently enrolled as a 3rd-year student in Engineering (Electronics, Bio-medical, Mechanical or Computer Science) with at least one year until graduation.
• Availability for a minimum of 3 full working days per week (60%)
• Proficient in both English and Hebrew.
• Experience working in tech/analysis positions - advantage
• Experience working with Linux OS - advantage
• Experience working with cloud-based products - advantage
• Experience working with multi-disciplinary systems - advantage
• Demonstrated leadership and execution skills.
• Strong work ethic, driven by a desire to learn and achieve independence.