C++ Software Engineer – AI & DSP Processor Simulators

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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.
  
  

• 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.