(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.