AI Software Engineer

Overview

Advantest Cloud Solutions (ACS) is accelerating the integration of AI into semiconductor test and measurement systems. We are building intelligent, scalable, and secure platforms where AI agents collaborate with customers in real-world workflows.

We are looking for a practical, hands-on AI Engineer who enjoys building, testing, and deploying AI solutions in production. This is not just a research role - you will be working closely with customers, architects, software/data engineers, and product teams to make AI capabilities reliable, scalable, and useful. A can-do attitude, strong teamwork, and willingness to learn are just as important as technical expertise.

Key Responsibilities

• Build and deploy AI solutions for real-world use cases such as predictive analytics, anomaly detection, generative AI, and workflow automation.
• Develop end-to-end AI pipelines including data ingestion, preprocessing, model training, validation, deployment, and monitoring.
• Work with ML frameworks (PyTorch, TensorFlow, Scikit-Learn, XGBoost) and integrate models into applications and services.
• Collaborate with software and infrastructure teams to ensure AI services run efficiently in containerized environments (Docker, Kubernetes).
• Experiment with LLMs, multi-agent systems, and prompt engineering, focusing on practical integration into production.
• Participate in team discussions, design reviews, and troubleshooting sessions to continuously improve system reliability.
• Contribute to a culture of collaboration, learning, and problem-solving across global ACS teams.