Develop post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations and provide design feedback.
AI-Driven Engineering: Build secure, traceable, and validated AI-assisted workflows for analysis, debug, and methodology automation, with human oversight for critical engineering judgments.
What we need to see
Pursuing Master or PHD degree in Microelectronics/Electronic Engineering/Computer and Related Professionals.
Excellent problem solving, data analysis, collaborative, and interpersonal skills.
Hands-on experience with silicon bring up, frequency and power characterization, Tester to System/Simulation correlation, lab tools (oscilloscopes, multimeters, DAQ).
Experience with Perl, C/C++, Python and matlab development, Windows and Linux OS is a plus
Practical hands-on experience leveraging AI tools and AI-augmented engineering workflows
Knowledgeable in MOSFETs, LDO, DC/DC, filters, digital design, timing analysis, fault analysis, sampling, computer architecture.
Ways to stand out from the crowd
Experience with Power Integrity and Signal integrity simulation and correlation with SCH/PCB design
Familiarity with RAG, AI agents, tool invocation, LLM benchmarking, and engineering workflow automation.
Proven record of technical innovation through shipped methods, tools, debug systems, patents, or published technical works.
