PROBE DAST Automation Engineer (Warehousing/robotic)

Job Description

Job Description

As an F10 DAST Material Handling Automation Engineer, you will be responsible for automating warehouse and receiving operations through ASRS, conveyor systems, RFID tracking, AI-driven analytics, and digital twin technologies. You will support the development and implementation of smart warehouse solutions, including WMS integration, AI-powered receiving automation, and material flow optimization to enable just-in-time delivery and operational excellence.

Responsibilities

• Support all aspects of Automated Storage and Retrieval System (ASRS), conveyor systems, RFID, and AI implementation projects.

• Assist in achieving outstanding system performance and reliability through preventive maintenance, troubleshooting, AI-driven predictive maintenance, and continuous improvement initiatives.

• Support the design and integration of receiving automation solutions, including AI-enabled OCR, barcode scanning, and software interfaces.

• Contribute to WMS integration projects and to the development of AI-powered digital twins for warehouse process simulation and optimization.

• Develop technical documentation, AI-based data analytics dashboards, and performance tracking tools
  Collaborate with cross-functional teams, including IT, operations, and facilities, on automation projects

• Promote a Safe and Green Working Environment

• Understanding or interest in AI applications in semiconductor manufacturing, such as predictive analytics, automated defect classification, or data visualization is preferred.

•  Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Requirements:

• Bachelor's degree in Electrical & Electronics, Chemical, Mechanical, Materials Engineering or equivalent.

• Leadership: Demonstrated leadership experience through academic projects, internships, or extracurricular activities, with the ability to build and develop an effective team to tackle equipment operation challenges.

• Problem-Solving Skills: Proven problem-solving abilities, knowledge on problem solving like 8D, 5 Why analysis, Process Failure Mode and Effect Analysis to deliver effective solutions.

• Strong communication skills (written, verbal and presentation) and personal initiative and ability to work in a fast-paced and dynamic environment.

• Proven experience with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).

• Demonstrated PROBE internship experience within a semiconductor company.

• Experience working on projects that align with the key duties of this position.

• Interest in and knowledge of the semiconductor industry and Micron is preferred 

• Understanding or interest in AI applications in semiconductor manufacturing, such as predictive analytics, automated defect classification, or data visualization is preferred. 

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

Embody Micron’s core values: 

Customer Focus – Deliver excellence and value 

People – Respect, develop, and empower others 

Innovation – Drive continuous improvement and breakthrough thinking 

Tenacity – Show grit and determination 

Collaboration – Build trust and foster teamwork