Support the translation of product and system requirements into circuit implementations, evaluating feasibility and functionality across use cases.
Perform circuit verification (DC, AC, transient, noise, Monte Carlo, PVT corners) at block level, with guidance from experienced engineers.
Collaborate with multi-functional teams, learning how design choices impact power efficiency, manufacturability, and overall product performance.
Develop and leverage automation solutions (e.g., Python-based workflows, AI-assisted tools), analyze results, and document your work and findings in the thesis and in user documentation.
AI Enablement and Productivity
The candidate is expected to use AI-powered tools and data-driven methodologies to improve engineering productivity, accelerate problem solving, support design analysis, and enhance technical decision making. Responsibilities may include:
Applying AI-assisted engineering tools for code generation, review, debug, and documentation.
Applying AI-enabled analysis techniques to large design, verification, characterization, or silicon datasets.
Finding opportunities to automate repetitive engineering tasks through AI technologies.
Evaluating and adopting emerging AI capabilities to improve efficiency, quality, and innovation within the design process.
Collaborating with multi - functional teams to integrate AI driven workflows into engineering activities.
Minimum Qualifications
Currently enrolled in an M.S. program in Electrical Engineering, Electronics, or a related field, with a thesis to be carried out as an internship (tirocinio curriculare per tesi) in agreement with your university.
Solid academic knowledge of analog and/or mixed-signal CMOS circuit design.
Good understanding of device physics, variability, reliability, and power integrity.
Familiarity with SPICE-based simulation tools and circuit verification methodologies, gained through coursework or academic projects.
Strong problem-solving and communication skills, with the motivation to learn and the ability to work in global multi-functional teams.
Good command of English, both written and spoken.
Preferred Qualifications
Coursework, lab, or project experience in NAND Flash or other non-volatile memory technologies.
Familiarity with design automation, scripting (e.g., Python), or AI-assisted design approaches.
Understanding of layout constraints and interaction with physical design flows; interest in layout automation.
For internships positions in Italy, Micron could pay Eur 900 – Eur 1200 per month, and will grant, in addition meal vouchers for each day worked onsite. The internship allowance is determined based on the highest level of education already completed at the start of the internship, regardless of gender and of any other factor protected by applicable federal, state, or local laws.
For working students positions in Germany Micron estimates it could pay from 15 Eur (gross) per hour. The exact amount is determined based on education and level of experience.
Remuneration/allowance amounts are determined regardless of gender and of any other factor protected by applicable federal, national, or local laws.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Remuneration is determined by objective criteria, regardless of gender and of any other factor protected by applicable federal, state, or local laws.
To request assistance with the application process and/or for reasonable accommodations, please contact HRsupport_EMEA@micron.com.
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About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® brand. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
