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.
Responsibilities: Design, implement, and debug complex logic designs.
Integrate your IP into larger and more complex IPs.
Support front-end integration activities such as Lint, CDC, Synthesis, and ECO.
Implement design automation using Python or other programming languages.
Collaborate with SOC Design, SOC Design Verification, Emulation, STA, and Physical Design teams.
Work closely with software and systems teams to ensure high-quality system integration.
Use AI‑assisted tools to enhance code quality, streamline documentation, and accelerate debugging.
Apply AI‑driven automation where appropriate to improve design and validation efficiency while maintaining secure and responsible usage.
Preferred Education, Skills & Experience: MS degree in Electrical Engineering with 7-10 years of design experience is required.
Expertise in RTL and/or testbench development using Verilog/System Verilog.
Strong knowledge of Digital ASIC Design methodology.
Experience in large-scale design projects.
Familiarity with standard ASIC design flow tools (Synthesis, Lint, CDC, ECO, timing analysis, code coverage, assertions
Hands-on experience with Design/Verification CAD tools (ncsim, Design Compiler, Formality, Prime Time).
Knowledge of AMBA AXI/AHB System-on-chip interconnect protocols.
Proficiency in TCL, PERL, or Python is a plus.
Experience with high-speed protocols (PCIe, USB, SATA, Display Port, HDMI) is a plus.
Knowledge of storage or memory device protocols (NVMe, SCSI, CXL, DDR) is a plus.
Fluent in English, with excellent communication skills, both verbal and written, for documentation and reporting.
Strong interpersonal skills and ability to build and maintain good relationships with colleagues.
Self-motivated, self-directed, and a team player.
Familiarity with AI/ML concepts and willingness to adopt AI‑enhanced engineering tools in daily workflows.
Ability to evaluate and apply AI‑enabled features in EDA tools where applicable.
