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Mid LevelFull-timePythonC++
Salary Range
$79,560 - $107,640 /year
This salary is estimated based on similar roles. The actual salary may vary.
<div>Join Mobileye’s Perception Solutions team and take part in building a new, impactful project from scratch, shaping the next generation of autonomous driving technology!</div>
<div>Our team is project-oriented, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.</div>
<div>In this role, you will join right at the beginning of an end-to-end development cycle. You will leverage advanced approaches, including Transformer-based architectures, to enable direct vision modeling beyond traditional image-processing pipelines.</div>
What will your job look like:
• Contribute to building a new deep learning project from scratch, with real impact on production systems.
• Work on end-to-end model development, including problem formulation, data understanding, model design, training, evaluation, optimization, and deployment.
• Develop and train state-of-the-art deep learning models for computer vision tasks.
• Explore and define the best technical approach in an open, research-driven environment, where solutions are not predefined.
• Tackle real-world challenges where model performance is critical and directly impacts product capabilities.
All you need is:
• M.Sc. in Computer Science, Electrical Engineering, or Software Engineering (Ph.D. is an advantage).
• 3+ years of hands-on experience in end-to-end deep learning model development and training.
• Experience working with Transformer-based models.
• Strong programming skills in Python and C++.
• Strong understanding of model behavior, training dynamics, and performance optimization.
• Ability to tackle complex challenges with strong problem-solving skills and a deep-dive approach.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Free to sign up. Takes 30 seconds.
About mobileye
Mobileye is a leading innovator in the field of advanced driver-assistance systems (ADAS) and autonomous driving technologies. Headquartered in Israel, the company was founded in 1999 and has since become a global pioneer in vision-based solutions for road safety and mobility. Mobileye's technologies are designed to enhance vehicle safety, improve traffic efficiency, and pave the way for fully autonomous transportation systems. The company operates at the intersection of automotive, technology, and artificial intelligence, leveraging its expertise to address the evolving challenges of modern mobility. Mobileye offers a comprehensive suite of products and services, including high-resolution cameras, processors, and software algorithms that enable vehicles to perceive their environment and make intelligent decisions. Key features of their solutions include real-time object detection, predictive analytics, and high-definition mapping, which collectively contribute to safer driving experiences. The company's target audience spans automotive manufacturers, fleet operators, and technology partners seeking to integrate cutting-edge ADAS and autonomous driving capabilities into their vehicles. Mobileye's solutions are particularly valued for their reliability, scalability, and ability to adapt to diverse driving conditions. Notable achievements include Mobileye's acquisition by Intel in 2017, which has further accelerated its technological advancements and market reach. The company holds a strong market position as a trusted provider of vision-based solutions, with a significant presence in both established automotive markets and emerging mobility sectors. Mobileye's unique value proposition lies in its data-driven approach, which leverages vast amounts of real-world driving data to continuously improve its algorithms and deliver superior performance. This commitment to innovation and safety has solidified Mobileye as a key player in shaping the future of transportation.
