Embedded Host-NPU Software Team Leader

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Description

About Vision Business Unit Software Organization

The Vision Business Unit (VBU) at Ceva combines a dynamic startup environment with a stable, well-positioned IP company. Our main product is an NPU that supports LLMs. Our goal is to create and supply cutting-edge embedded software and graph compiler cores for AI. We continuously push technological limits to enable widespread access to technologies like augmented reality, virtual reality, 3D processing, Generative AI, and transformers.

Job Overview

In this role, as Application Software Team Leader, you will lead a software team taking major part in developing Ceva's AI framework. This framework is at the heart of the Ceva AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. You will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.

Key Responsibilities

Lead and manage the Application Software engineering team, ensuring high performance and productivity. Oversee the design, development, and implementation. Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members. Ensure project timelines and deliverables are met. Conduct performance reviews and support professional development of team members. Collaborate globally with architects, HW teams, NPU teams, and other developer teams

Requirements

Requirements:

• B.Sc in Engineering, Computer Science, or related technical field
• At least 3 years of experience as Software Team Leader
• At least 5 years of hands-on C++ software engineering in embedded/firmware domains
• Experience in developing complex Embedded software systems
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.
• Ability to work collaboratively in a fast-paced environment.
  
  

• Experience with firmware and middleware software.
• Experience with AI related product development.