Intern - ASIC Validation
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What you'll do
- Collaborate with validation, design verification, and firmware teams to support silicon bring-up, testing, and validation activities for new ASIC devices.
- Use laboratory equipment, automation tools, and validation environments to characterize device functionality and performance.
- Develop or enhance scripts, automation solutions, and AI-assisted workflows to improve validation efficiency, failure analysis, and reporting.
- Analyze validation results, debug complex issues, and evaluate AI-generated insights while applying sound engineering judgment.
- Document technical findings, communicate project results, and present recommendations to engineering teams.
What they're looking for
- 0-2 years of relevant experience through internships, research, academic projects, laboratory work, or engineering experience related to ASICs, semiconductor devices, hardware validation, or embedded systems.
- Currently pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
- Basic understanding of ASIC design, silicon bring-up, validation methodologies, or semiconductor development processes.
- Experience using electronic laboratory equipment through coursework, research, or project activities.
- Familiarity with generative AI tools, AI-enabled workflows, and large language models (LLMs) such as Copilot, Claude, or similar technologies.
- Strong analytical, troubleshooting, and problem-solving skills with the ability to critically evaluate AI-assisted outputs.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Nice to have
- Previous internship, research, or project experience in ASIC validation, semiconductor product development, hardware testing, or system validation.
- Programming experience with Python, C/C++, SystemVerilog, or similar languages used for automation and validation.
- Experience applying AI-assisted development, prompt engineering, workflow automation, data analysis, or machine learning techniques to engineering problems.
- Familiarity with AI agents, agentic workflows, automation frameworks, or data-driven engineering processes.
- Experience with data analysis, reporting tools, version control systems such as Git, or test automation methodologies.
- Understanding of responsible AI practices, including data governance, intellectual property protection, and human-in-the-loop validation.
- Demonstrated ability to manage multiple priorities and contribute effectively in a fast-paced engineering environment.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The ASIC Validation team plays a critical role in bringing Micron's next-generation silicon products to life by validating and characterizing new devices as they return from fabrication. Working closely with design, verification, and firmware teams, the group develops innovative validation methodologies, automation solutions, and AI-enabled workflows to ensure product quality, performance, and reliability.
As an ASIC Validation Intern, you will work alongside experienced engineers to validate newly developed silicon and enhance the validation infrastructure used across engineering teams. This role provides hands-on experience with hardware validation, lab equipment, automation, data analysis, and AI-assisted engineering workflows while contributing directly to the successful bring-up of next-generation ASIC products.
Responsibilities
Collaborate with validation, design verification, and firmware teams to support silicon bring-up, testing, and validation activities for new ASIC devices.
Use laboratory equipment, automation tools, and validation environments to characterize device functionality and performance.
Develop or enhance scripts, automation solutions, and AI-assisted workflows to improve validation efficiency, failure analysis, and reporting.
Analyze validation results, debug complex issues, and evaluate AI-generated insights while applying sound engineering judgment.
Document technical findings, communicate project results, and present recommendations to engineering teams.
Minimum Qualifications
0-2 years of relevant experience through internships, research, academic projects, laboratory work, or engineering experience related to ASICs, semiconductor devices, hardware validation, or embedded systems.
Currently pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
Basic understanding of ASIC design, silicon bring-up, validation methodologies, or semiconductor development processes.
Experience using electronic laboratory equipment through coursework, research, or project activities.
Familiarity with generative AI tools, AI-enabled workflows, and large language models (LLMs) such as Copilot, Claude, or similar technologies.
Strong analytical, troubleshooting, and problem-solving skills with the ability to critically evaluate AI-assisted outputs.
Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Preferred Qualifications
Previous internship, research, or project experience in ASIC validation, semiconductor product development, hardware testing, or system validation.
Programming experience with Python, C/C++, SystemVerilog, or similar languages used for automation and validation.
Experience applying AI-assisted development, prompt engineering, workflow automation, data analysis, or machine learning techniques to engineering problems.
Familiarity with AI agents, agentic workflows, automation frameworks, or data-driven engineering processes.
Experience with data analysis, reporting tools, version control systems such as Git, or test automation methodologies.
Understanding of responsible AI practices, including data governance, intellectual property protection, and human-in-the-loop validation.
Demonstrated ability to manage multiple priorities and contribute effectively in a fast-paced engineering environment.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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