Are You Ready for a Challenge?
Do you have a passion for advanced CMOS technology? As chip structures approach physical limits and new devices like FinFET are developed, design, layout, and verification software systems become increasingly complex. Intel is at the forefront of shaping the future of technology, driving innovations in AI, analytics, and cloud-to-edge technology. Our work powers breakthroughs like self-driving cars and coral reef restoration, as well as enhancing everyday experiences such as movie effects and shopping.
Join Us
At Intel, you can help create a better future for everyone. We are fearless, customer-focused, team-oriented, truthful, transparent, and embrace diversity. This position is available full-time or part-time.
Position Overview
We offer a Master student position to develop RTL automation environments, aiding our products in selecting the optimal embedded memory strategy for fast and accurate integration. Responsibilities include:
Ideating, planning, developing, and running automated RTL test environments.
Comparing and rating test coverage and results.
Defining test strategies to enhance RTL code quality using AI technology and algorithms.
Presenting results and solutions to the internal memory team.
For more information, visit Intel Careers.
Skills and Experience
The position requires the following qualifications:
RTL Expertise: An excellent background in RTL, preferably with System Verilog and UVM.
AI and Test Strategy: Experience in AI and test strategy development.
Education: A degree (BS) in electrical engineering, software engineering, mathematics, or equivalent experience.
HDL Language: Proven experience in HDL language.
Software Development: Experience in AI and software development.
Modern Software Tools: Know-how on modern software tools like Python, Perl, Java, and VSCode.
Quality Standards: Pursuing the highest quality standards.
Communication Skills: Excellent communication skills, fluent in English.
Documentation Skills: Demonstrated proficient documentation skills.
Multitasking: Must be able to work on multiple tasks concurrently.
Operating Systems: Experience with Windows 11, Office 365, and UNIX/Linux systems is required.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.