Bridging the data gap between biology and AI
Nanotechnology • Electrochemistry • Data science • Machine learning • Systems Biology
March 16
🏢 In-office - Bay Area
Bridging the data gap between biology and AI
Nanotechnology • Electrochemistry • Data science • Machine learning • Systems Biology
• Sensor product parametric and reliability characterization / qualification • Interface board, PCB design and bench automation software development • Parametric yield characterization and failure analysis • Test and qualification methodology development & implementation • Production test equipment specification and vendor/turnkey solution selection • Correlation of bench verification with production test (ATE)
• 5+ years of related experience, ideally involving sensor systems and IC test and reliability qualification • Experience deploying test platforms including Automated Test Equipment using data acquisition and instrumentation control software • Experience of test software development and scripting languages like python, C, C++ • Ability to understand complex technical requirements and translate requirements into solutions • Bachelor's degree in Electrical Engineering or related field required • Master's degree in Electrical Engineering preferred • Working knowledge of analog/digital circuit design a plus • Knowledge of signal integrity and electro-chemistry lab equipment a plus • Background and hands-on working knowledge of data visualization and analysis tools using software packages and/or custom programming a plus • Familiarity with statistical analyses a plus
• Competitive salary and benefits package • Professional work environment • Growth opportunities • Good work/life balance
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