Computer Vision Developer

7 days ago

Herzliya, Tel Aviv, Israel Ceva, Inc. Full time ₪90,000 - ₪120,000 per year

About the Business Unit:

The Vision Business Unit (VBU) is a unique department in Ceva combining a dynamic startup working environment with a stable and well positioned IP company. The VBU Software organization goal is to create and supply the most cutting-edge embedded software and graph compiler core for AI and Vision applications. We are a forward-thinking, innovative organization that continuously pushes technological limits to enable widespread access to fields like augmented reality, virtual reality, 3D processing, and Generative AI.

About the Role:

In this role, you will learn and deeply understand the AI and Vision fundamentals and transform AI algorithms into embedded implementation on Ceva's processors. In addition, you will perform in-depth analysis and optimization to vision algorithms and AI implementation to ensure the best performance and accuracy on various Ceva's processors architectures.

Responsibilities:

Develop and implement AI and Computer Vision algorithms. Optimize high-level algorithm implementations into embedded solutions for various Ceva's DSPs and NPUs. Independently manage projects from start to finish, ensuring timely delivery. Collaborate globally with cross-functional teams to integrate solutions into products. Conduct thorough testing and debugging software. Stay updated with the latest advancements in computer vision and AI technologies.

Requirements:

  • B.Sc in Engineering, Computer Science, or related technical field.
  • 2-3 years' experience as a C++ developer.
  • Experience with python development.
  • Excellent problem-solving skills and creativity in algorithm redesign.
  • Ability to work independently in a dynamic environment.
  • Strong organizational skills and attention to detail.
  • Effective communication and collaboration skills.

Advantages:

  • Experience in embedded DSP programming.
  • Strong knowledge of Computer Vision and AI algorithms.
  • Experience with parallel computing implementations.

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