(NEW GRAD ONLY) Engineer, Software Development Engineering

Job Description

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.

Qualifications

REQUIRED:

• Currently pursuing or recently completed Bachelor's degree in Computer Engineering, Computer Science, Data Science, AI Engineering, Mechatronics Engineeringor equivalent experience

• Experience or strong academic / project backgroundin 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 programming

• Exposure to AI-enabled vision systems, image processing, or sensor data analytics is a strong plus.

SKILLS:

• Good command of English (Verbal and Written) for global technical communication.
• Ability to develop software using OOP principles, and integrate AI solutions with PLC, HMI, or automation systems.
• Strong analytical and problem-solving skills, with the ability to:

  • Analyze data-driven problems

  • Apply AI or analytics to identify root causes

  • Propose corrective and preventive actions to meet customer and manufacturing requirements

• Willingness to learn and adapt to AI, GenAI, and data-driven manufacturing technologies in a fast-paced engineering environment.

Additional Information

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