Software Engineer

Job Description

In this role, you will develop software techniques to realize and accelerate machine learning algorithms in the fields of high-performance embedded computing. You will work on latest technologies in machine learning areas as well as Computer Vision domains. You will have the opportunity to become an expert in embedded software, scientific computing, data processing, performing in-depth analysis and optimization to ensure and promote the Ceva solutions in machine learning area. 

This involves

• Develop software tools and applications in the machine learning field for embedded computing

• Create and optimize core parallel software algorithms and data structures

• Analyze, optimize and debug complex solutions

• Collaborate globally with multiple software and hardware teams, system architects and field application engineers

• Work closely with Ceva customers to analyze requirements and provide prompt support when needed

• The role includes periodic travel to customer sites within China and occasional international travel, including trips to Israel, for collaboration, training, and project alignment.

• Candidates should be comfortable working in a fast-paced, results-driven environment and willing to take ownership beyond standard working hours when needed.

Requirements

• B.Sc/M.Sc. in Software Engineering, Computer Science, or related technical field from a leading university

• 3-6 years of experience in software development in leading companies

• Experience in fields such as AI, LLMs, computer vision. Video encoding/decoding, imaging – advantage

• Strong knowledge of C/C++

• Strong Knowledge of Python

• Strong mathematical fundamentals

• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills

Plus

• Familiar with MLIR compiler for NPU

• Familiar with memory analysis (Macro tile and Micro tile) for NPU