job description
Join Micron Semiconductors as a Product Integration Engineer (PIE) Intern and be at the forefront of AI-powered 3D-NAND innovation in Bali! This is a unique opportunity to contribute to cutting-edge semiconductor solutions that drive efficiency, performance, and scalability in next-gen memory technologies.
As part of our dynamic team, youâll collaborate with cross-functional experts to integrate, test, and optimize 3D-NAND flash memory products, leveraging AI-driven analytics to enhance yield, reliability, and speed. Your work will directly impact the development of high-performance storage solutions for global markets.
Based in the vibrant tech hub of Badung, Bali, youâll enjoy a collaborative work environment, mentorship from industry leaders, and exposure to real-world challenges in semiconductor engineering. Whether youâre passionate about AI, data analysis, or hardware integration, this internship will equip you with the skills to thrive in the fast-evolving tech landscape.
Responsibility
- Assist in the integration and validation of 3D-NAND memory products using AI-based tools and methodologies.
- Support data analysis and yield enhancement initiatives to improve product performance and reliability.
- Collaborate with R&D and manufacturing teams to troubleshoot integration issues and propose solutions.
- Develop and execute test scripts and automation for semiconductor validation processes.
- Contribute to documentation and reporting of integration workflows, test results, and performance metrics.
- Participate in cross-functional meetings to align on project goals and timelines.
- Stay updated on emerging trends in AI, machine learning, and memory technologies to drive innovation.
- Assist in prototyping and benchmarking new integration techniques for next-gen products.
Qualifications
- Currently pursuing a Bachelorâs or Masterâs degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Strong foundation in semiconductor physics, memory technologies, or AI/ML applications.
- Familiarity with Python, C/C++, or data analysis tools (e.g., Pandas, NumPy, TensorFlow).
- Basic understanding of hardware testing, validation, or automation frameworks.
- Excellent problem-solving and analytical skills with a detail-oriented mindset.
- Ability to work in a fast-paced, team-driven environment with minimal supervision.
- Strong communication and documentation skills in English.
- Passion for innovation in semiconductor and AI technologies is a plus.