C++ Software Engineer – AI & DSP Processor Simulators

Hillcrest Labs, acquired by CEVA · raanana

Description About the Business Unit: Ceva’s AI Division drives innovation in Machine Learning and Generative AI architectures for edge devices and cloud inference, with R&D spanning Neural Network Processors (NPU), Vision DSPs and advanced AI algorithms. Our technology powers smartphones, tablets, automotive, robotics, surveillance cameras and a wide range of edge AI and 5G systems. We combine cutting-edge hardware IP design with embedded software and system-level solutions, enabling the next generation of intelligent, energy-efficient devices. About the Role: In this role, you will design, optimize and develop features in the simulator. Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams – and by Ceva customers running the most advanced AI networks on our processors. The development language is C/C++ (OOP) on Linux and Windows platforms. Responsibilities:  Design and develop simulation software for Ceva’s NPU and DSP platforms within an agile, top-notch software organization. Perform in-depth analysis and optimization of simulator performance and accuracy across multiple Ceva processor architectures. Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges. Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers. Requirements •     B.Sc./M.Sc. in Computer Science, Software Engineering or a related technical field. •     4 years of hands-on software engineering experience. •     Strong C/C++ programming and debugging skills, including OOP design of complex embedded software systems. •     Comfortable diving into an existing codebase to make modifications; strong scripting skills. •     Enthusiastic about ML, AI and Computer Vision, with excellent problem-solving skills and attention to detail. •     Independent, self-motivated and curious, with good communication skills and the ability to manage time and prioritize tasks.  Advantages: •     Experience in Python and in deploying AI/ML models. •     Experience developing a simulator for hardware, or modelling internal mechanisms of ASIC platforms. •     SystemC/TLM experience. •     Experience developing in Linux environments.

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