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Niche semiconductor+ML skills lower applicant pool but reputable employer and metro location raise competition.
Analog silicon validation expertise is highly domain-specific and not easily transferable across industries.
Explicit 7+ years and specialized analog silicon validation plus ML make screening highly selective.
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Develop and execute validation plans for analog and mixed-signal IPs in MCU and MPU products covering electrical characterization and subsystem validation.
Develop and implement AI/ML solutions for anomaly detection, failure clustering, root-cause prediction, and trend analysis in silicon validation data.
Collaborate with design teams to debug and root-cause silicon issues, and build predictive analytics tools to support and accelerate validation efforts.
Bachelor’s or Master’s degree in Electrical, Electronics, Computer Engineering or related field.
7+ years of experience in semiconductor analog validation, product engineering, or silicon debug.
Strong hands-on experience with MCU architectures, embedded systems, and silicon debug tools such as JTAG, logic analyzers, oscilloscopes.
Work Experience Required: 7+ years in semiconductor analog validation or related roles.
Experienced in analog and mixed-signal silicon validation within MCU/MPU domains with strong electrical characterization skills.
Skilled in applying AI/ML techniques to semiconductor validation data for anomaly detection and predictive analytics.
Capable of collaborating effectively with design teams to troubleshoot and resolve silicon issues, and improving validation processes via data-driven methods.