DRAM Design Engineer
Micron Technology
About the Role
Micron Technology's DRAM Design Engineering Group (DDEG) is a global organization dedicated to advancing memory and storage innovation. The team collaborates across fields to solve complex semiconductor challenges and deliver world-class memory solutions through creativity, continuous learning, and engineering excellence.
Key Responsibilities
- Design, analyze, and optimize digital, analog, memory, and logic circuits, including schematic development, layout, and verification.
- Perform semiconductor design engineering activities such as chip layout design, circuit checking, parasitic modeling, and documentation of specifications.
- Support design validation, reticle experiments, tape-out revisions, and evaluation of semiconductor devices and components.
- Lead layout efforts including floorplanning, placement, and routing, and modify designs based on product requirements and logic diagrams.
- Collaborate with Product Engineering, Test, Probe, Process Integration, Assembly, Marketing, and verification teams to ensure manufacturable and high-quality designs.
- Leverage AI Assisted tools to enhance design analysis and debug efficiency.
Requirements & Tech Stack
- Bachelor’s or Master’s degree in Electrical Engineering.
- Experience in developing and evaluating digital and analog circuits for memory products.
- Ability to model and simulate integrated circuits using SPICE and Verilog.
- Working knowledge of Synopsys tools and Cadence Virtuoso.
- Experience reviewing product specifications and logic flowcharts to define and implement semiconductor devices.
- Experience working in AI-Enabled environments or willingness to leverage AI tools to support engineering productivity, automation, and data-driven workflows.
Qualifications
- Experience in the design and development of volatile or nonvolatile memory technologies.
- Knowledge of advanced memory technologies such as ferroelectric memory, wafer bonding, and advanced packaging.
- Familiarity with small-signal sensing techniques.
- Understanding of high-voltage reliability considerations in semiconductor devices.
- Exposure to applying AI or AI Assisted techniques, including data-driven automation, to improve design or verification efficiency.