Automation and validation engineer

About the Business Unit:

The Vision Business Unit is a unique and dedicated group in Ceva.

Our R&D areas include innovative technologies in the fields of Generative and classic AI, SLAM,3D Processing and image processing for Smartphones, Automotive, Drones, AR/VR and more edge and cloud devices.

About the Role:

In this role, you will learn and deeply understand the AI fundamentals and create automatic AI based validation environment for Ceva’s AI neural network processor . In addition, you will perform in-depth analysis of failure root cause analysis, to ensure that functionality, performance and accuracy of Ceva ‘s AI and vision processors architectures are met.

The development is done using C/C++ and Python as main development languages for AI neural network automation and validation. Validation and Automation is performed cross platform using Linux and Windows solutions.

Responsibilities:

Taking part of innovative, agile, top-notch Software Organization, designing Neural Network Processor (NPU) in close collaboration with the architecture, algorithms, front end and backend software, system and hardware teams.

Develop automated validation frameworks and tests for NPU software artifacts, simulator for neural network processing and embedded software.

Requirements:

B.Sc/M.Sc. in Engineering, Computer Science, or related technical field.
Experience in C/C++ and Python programming
Enthusiastic about ML, AI and Computer Vision
Good communication and organization skills, with a logical approach to problem solving
Good time management, and task prioritization skills
Independent and self-motivated

Advantage:

Experience in validation and automation activities

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