Embedded Software Engineers (AI/ML)

Job Summary

We are seeking Embedded Software Engineers (AI/ML) to develop and deploy AI-driven solutions for engineering and semiconductor applications, including embedded and edge computing systems.

Key Responsibilities

• Develop AI and machine learning software solutions for engineering and embedded applications
• Design, train, evaluate, and optimize machine learning and deep learning models
• Develop, test, and maintain software applications using Python
• Implement AI models using frameworks such as TensorFlow, PyTorch, or Keras
• Collaborate with cross-functional engineering teams to integrate AI solutions into embedded systems and products
• Analyze datasets and improve model performance through tuning and optimization techniques
• Conduct debugging, troubleshooting, and performance optimization of AI software systems
• Document software design, development processes, testing results, and technical specifications

Requirements

• Bachelor’s degree in Computer Science, ComputerEngineering, Artificial Intelligence, or related field
• Strong programming skills in Python
• Hands-on experience with machine learning and deep learning frameworks (TensorFlow, PyTorch, or Keras)
• Good understanding of machine learning concepts, data processing, and model training techniques
• Ability to develop, debug, and optimize AI/ML-based software applications
• Strong analytical, problem-solving, and communication skills
• Experience in engineering or industrial AI/ML applications is an advantage
• Familiarity with cloud AI platforms (e.g., AWS, Azure, GCP) and GPU computing is an advantage
• Knowledge of Git or other version control systems
• Experience in embedded systems or edge AI development is an advantage