Automation and Validation Engineer - AI Neural Network Processor

About the role

Ceva's AI Division develops machine learning and generative AI architectures for edge devices and cloud inference, covering neural network processors (NPU), vision DSPs and AI algorithms for smartphones, tablets, automotive, surveillance cameras and other edge AI systems. As Automation and Validation Engineer, you will build an automatic AI-based validation environment for the company's AI neural network processor, analyse failure root causes and ensure the functionality, performance and accuracy of its AI and vision processor architectures.

Key responsibilities

• Take part in the design of the Neural Network Processor (NPU) in close collaboration with architecture, algorithms, frontend and backend software, system and hardware teams.
• Develop automated validation frameworks, tests and coverage for NPU software artifacts, the neural network processing simulator and embedded software.
• Perform root cause analysis of failures to meet the required functionality, performance and accuracy.
• Work in an agile software organisation; validation is done with C/C++ and Python and across Linux and Windows platforms.

Required profile

• B.Sc./M.Sc. in Engineering, Computer Science or a related technical field.
• Up to 3 years of experience in C/C++ and Python programming.
• Experience in validation and automation activities.
• Enthusiasm for ML, AI and computer vision.
• Good communication and organisation skills, logical problem-solving approach, good time management and fluent English.