Description
You will collaborate with design, manufacturing, and reliability partners to analyze electrical failures using advanced analytical tools. Your investigations will span from full systems and modules down to individual components and interconnects. Your expertise in electrical engineering, circuit analysis, and fault localization will be essential in identifying root causes and driving corrective actions to enable key product features, performance, and reliability.
Minimum Qualifications
Bachelor's degree in Electrical Engineering, Physics, or a related engineering or science discipline with 2+ years of experience working in a lab environment. Fundamental understanding of circuit analysis with the ability to read and interpret system and module schematics and board layouts. Knowledge of electronic device construction, PCB fabrication, SMT assembly, and module packaging. Familiarity with physical failure analysis (pFA) workflows and techniques like cross-sectioning, Scanning Electron Microscopy (SEM), or Computed Tomography (CT). Strong collaboration skills, with a history of working effectively within and across teams. Able to work independently with strong multitasking and time management skills. Solid problem solving and troubleshooting skills. Experience as an individual contributor with excellent communication skills (written and verbal).
Preferred Qualifications
Bachelor's degree with 4+ years of hands-on experience in a failure analysis lab environment supporting emerging technologies with a diverse array of projects and timelines. Direct experience with advanced fault localization tools such as LIT, TDR, LSM/OFI, and parametric analysis/curve tracing (IV). High manual dexterity for intricate sample preparation and testing, including device teardown, precision soldering, sample modification, and micro probing under a microscope. Familiarity with advanced sample prep methodologies including micro milling (µCNC), laser decap/cutting, Microwave Induced Plasma (MIP), ion milling, Focused Ion Beam (FIB) Coding background (e.g., Python, MATLAB) for data analysis, test scripting, or lab automation. Data-driven analytical thinker with strong problem-solving and presentation skills, capable of clearly articulating complex technical situations to a variety of audiences. Proven ability to collaborate with diverse teams, including engineering, operations, business functions, and external vendors, using influencing skills to drive decisions, accommodate evolving business needs, and meet deadlines.
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