Probe Process Engineer

Responsibilities Define, set up, and maintain probe process recipes and system configurations that govern material flow, tool routing, quality checks, and product disposition. Develop and maintain end-to-end process flows across multiple probe tools and operations, ensuring alignment between process intent and system behavior. Work closely with manufacturing teams to understand material process requirements and translate them into system logic, configurations, and automation rules. Partner with quality teams to define and implement disposition logic, validation checks, and alerts to ensure correct product grading and release. Collaborate closely with Probe Software and Analytics and Automation teams to support system changes, automation deployments, and process-driven enhancements. Perform system configuration, validation, and basic troubleshooting to support automation workflows, deployments, and production issues. Support system setup and configuration for new devices, process changes, and continuous improvement initiatives in probe operations. 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 Master’s or Bachelor’s degree in Electrical & Electronic Engineering, Mechanical Engineering, Computer Science, Data Science, or a related field. Strong proficiency in Perl and/or Python, SQL, and web technologies (Angular, HTML, CSS), with demonstrated ability to rapidly learn new programming languages and frameworks. Hands-on experience with Linux-based systems (e.g., Ubuntu, Debian, RHEL, AlmaLinux), including system usage, scripting, and troubleshooting. Experience with Tableau or PowerBI is an advantage. Hands-on experience or practical exposure to AI and Machine Learning techniques is an advantage. Demonstrated leadership potential through teamwork, collaboration, or involvement in activities beyond academic coursework. Strong growth mindset with a passion for continuous learning and self-improvement. Excellent problem-solving skills with a structured and logical approach. Clear, concise, and effective communication skills. 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