(NEW GRAD ONLY) Engineer, Software Development Engineering

ESSENTIAL DUTIES AND RESPONSIBILITIES: Participate in defining AI-driven Software Architecture and System Architecture for Automated HDD Assembly systems, including AI-enabled decision support and autonomous operations. Design, develop, and maintain AI/ML and GenAI solutions for manufacturing use cases such as: Machine diagnostics and predictive maintenance Process optimization and yield improvement Anomaly detection and root cause analysis Intelligent automation and autonomous operation support Develop and integrate GenAI applications (e.g. LLM-based agents, AI assistants, knowledge retrieval systems) to support: Engineering troubleshooting Manufacturing analytics Technical documentation generation Operational decision-making Build and maintain Data Engineering pipelines including data collection, cleansing, transformation, and storage from: HDD Assembly Machines Robotics, Vision Systems, Sensors, and Logs Manufacturing execution and control systems Collaborate with Software, Process, and Equipment teams to enable data-driven manufacturing improvements , focusing on yield, downtime, scrap reduction, and process stability. Develop and maintain AI models lifecycle including data preparation, model training, validation, deployment, monitoring, and continuous improvement. Integrate AI solutions with existing Machine Control Software, Automation Frameworks, and Manufacturing Systems . Execute experiments, analyze large-scale manufacturing data, and translate insights into actionable engineering recommendations . Generate and maintain technical documentation including: AI model design and performance reports Data pipeline architecture Software and AI release notes System specifications and user guidelines Validate and test AI-enabled software releases to ensure robustness, reliability, and manufacturing readiness. Serve as a technical AI resource and mentor for junior engineers, providing guidance on AI, data, and software best practices. Maintain effective communication with cross-functional technical teams and stakeholders, including presenting AI insights and recommendations. Comply with 6S activities to ensure good housekeeping and disciplined engineering practices. Comply with EH&S policies to ensure workforce safety and a sustainable working environment. This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum. REQUIRED: Currently pursuing or recently completed Bachelor’s degree in Computer Engineering, Computer Science, Data Science, AI Engineering, Mechatronics Engineering  or equivalent experience Experience or strong academic / project background  in one or more of the following areas: AI / Machine Learning / GenAI Software development and programming for automation systems Data processing, data analysis, or data engineering fundamentals Integration of AI or analytics with Automation, Robotics, Vision, or Manufacturing systems Basic knowledge of AI concepts such as: Machine Learning fundamentals Data preprocessing and feature engineering Model evaluation and validation Introduction to Generative AI / LLM concepts PREFERRED: Experience or academic projects in AI / Machine Learning / Deep Learning / GenAI (e.g. predictive models, anomaly detection, intelligent automation, LLM-based applications). Knowledge of Object-Oriented Programming (OOP) and UML Design . Experience with Data Engineering tools or concepts , such as: Database systems (SQL / NoSQL) Data pipelines, ETL, or log data processing Data visualization or analytics tools Hands-on experience with Automation or Prototype Systems , including: Windows, Linux, RTOS, Arduino or embedded platforms PLC systems (Beckhoff, Keyence, Mitsubishi) Vision, robotics, and HMI systems pro ... (truncated, view full listing at source)