Job Responsibilities
- Take responsibility for designing digital IP blocks from initial microarchitecture to RTL creation, integration, and supporting physical hardware development.
- Define and review module interfaces and system‑level architecture.
- Actively demonstrate AI‑based tools, agentic workflows, and automation frameworks to accelerate RTL design optimization and design‑space exploration.
- Assist in testbench generation and corner coverage.
- Improve debug efficiency across simulation and silicon learning loops.
- Define semicustom methodology for memory design.
- Drive full‑chip integration including CDC, Lint, synthesis, STA, and power analysis.
- Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments.
- Collaborate closely with architecture, design, verification, and physical design / layout teams.
- Oversee and manage the layout process including floor‑planning, placement, and routing.
- Perform block‑level and full‑chip verification including functional, timing, power, and reliability analysis using industry standard and Micron‑specific simulators and tools.
- Contribute to cross‑group communication to work towards standardization and group success.
- Provide technical mentorship and participate in design and methodology reviews.
- Drive innovation into future memory generations and design methodology within a dynamic work environment.
Minimum Qualifications
- Master’s degree in electrical or computer engineering with 3‑6 years of experience in RTL design.
- Solid knowledge of asynchronous and synchronous design concepts and CDC methodologies.
- Deep understanding of SoC design flows (Lint, CDC, synthesis, STA, power analysis).
- Fundamentals in CMOS circuit design, device physics, and memory operation.
- Ability to work effectively with global multi‑functional teams.
Preferred Qualifications
- Domain knowledge in DRAM design (DDR5, LPDDR5, HBM, or other memory technologies).
- Exposure to or strong interest in AI/ML‑assisted design flows, agentic AI, or advanced automation in digital design and verification.
- Experience working with Spyglass.
- Domain knowledge in NAND memory design.
- Experience with SoC / ASIC semicustom flow.
- Strong communication, problem‑solving, and collaboration skills.
Equal Employment Opportunity Statement
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.