Probe Process Engineer

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Micron Semiconductor Asia Operations PTE. LTD. invites a qualified engineer to define, set up, and maintain probe process recipes and system configurations that govern material flow, tool routing, quality checks, and product disposition.

You will collaborate with manufacturing, quality, and automation teams to translate requirements into robust configurations, validate changes, and drive AI-enabled improvements across our probe operations.

Qualifications

• Master’s or Bachelor’s degree in Electrical & Electronic Engineering, Mechanical Engineering, Computer Science, Data Science, or a related field.
• Strong Perl and/or Python, SQL, and web technologies (Angular, HTML, CSS) with ability to learn new languages quickly.
• Hands-on experience with Linux-based systems (e.g., Ubuntu, Debian, RHEL, AlmaLinux) including scripting and troubleshooting.
• Experience with Tableau or PowerBI is advantageous.
• Hands-on exposure to AI/ML techniques is advantageous.
• Demonstrated leadership potential through teamwork or extra-curricular activities.
• Growth mindset with a passion for continuous learning and self-improvement.
• Excellent problem-solving and communication skills.
• Ability to apply digital fluency and AI literacy to use AI-enabled tools responsibly.

Responsibilities

• Define, set up, and maintain probe process recipes and system configurations for 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 with manufacturing teams to translate material process requirements into system logic, configurations, and automation rules.
• Partner with quality teams to define and implement disposition logic, validation checks, and alerts for correct product grading and release.
• Collaborate with Probe Software, 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 in probe operations.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, while complying with standards.
• Contributes to continuous improvement by identifying, testing, and sharing AI-enabled enhancements within scope of work.

Skills

Perl

Python

SQL

Web technologies

Linux

Tableau/PowerBI

AI/ML concepts

Leadership

Problem-solving

Communication

Education

Master’s or Bachelor’s degree in Electrical & Electronic Engineering or related field

Tools

Linux scripting

SQL tooling

Job description

Job Description

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, andsharing 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 useAI‑enabled tools responsibly and effectively for research, analysis, content creation,problem‑solving, operational tasks, and achieving business outcomes.

EmbodyMicron’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