ReRAM Memory and AI Development Engineer

We are seeking a ReRAM Memory and AI Development Engineer to advance resistive random-access memory (ReRAM) technology and develop AI-enabled solutions that improve semiconductor engineering productivity and technical capability.

The role combines hands-on ReRAM technology development with the broader application of machine learning, generative AI, physics-informed AI, and AI agents across semiconductor engineering. The successful candidate will bridge semiconductor device knowledge, data science, AI/ML, EDA, and software development to turn new concepts into practical engineering solutions.

- Ph.D. or advanced degree in Electrical Engineering, Computer Engineering, Applied Physics, Computer Science, or a related field.
Strong foundation in semiconductor devices, memory technologies, EDA, or semiconductor engineering.
Experience with machine learning, deep learning, and scientific computing.
Strong Python programming skills and experience with frameworks such as PyTorch or equivalent.
Experience developing data-driven or physics-informed engineering models.
Ability to translate semiconductor engineering challenges into modeling, AI, software, or automation solutions.
Strong cross-functional communication and technical problem-solving skills.
Preferred Qualifications
Experience with ReRAM or other emerging memory technologies, including device characterization, modeling, variability, endurance, or reliability.
Experience with physics-informed machine learning, generative AI, probabilistic modeling, LLMs, or AI agents.
Experience with semiconductor EDA and simulation tools such as Cadence Virtuoso, Synopsys Custom Compiler, Sentaurus TCAD, HSPICE, or Verilog-A.
Experience with compute-in-memory, memory-aware AI, or neural-network quantization.
Experience developing reusable engineering automation, analysis, or AI software tools.