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Experienced Deep Learning Algorithm Developer – Object Perception Group

Mobileye Vision Technologies Ltd.

Jerusalem, IsraelFull timePosted Oct 30, 2025
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Skills named in this posting

  • Python
  • PyTorch / TensorFlow
We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in Computer Science, Electrical Engineering, or a related field. • At least 2 years of industry experience developing deep learning–based computer vision algorithms. • Strong Python programming skills and hands-on experience with PyTorch. • Solid understanding of deep learning and computer vision. 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!

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Original posting: jobs.eu.lever.co

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RISC-V ecosystem

Mobileye Vision Technologies Ltd. in the RISC-V ecosystem

RISC-V International: Strategic

Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.

  • Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
  • Exhibited in the RISC-V booth at Embedded World 2023

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