Converter evaluation & bring-up: ADC/DAC bring-up, functional validation, and configuration bring-up on lab platforms and evaluation boards.
Characterization & datasheet readiness: Converter performance characterization (SNR/SFDR/ENOB, noise, linearity, distortion, spurs, bandwidth, clocking sensitivity) across PVT and operating modes; correlation of bench data to simulation/model expectations; definition of recommended settings and operating limits.
RF performance validation: RF signal-chain validation for converter applications (front-end alignment, filtering, gain staging, LO/clock integrity, coupling paths) and translation of findings into actionable guidance.
Debug & root-cause isolation: Spur hunting and distortion isolation, clock/jitter sensitivity analysis, interface/configuration state isolation, and cross-functional closure of silicon issues with clear hypotheses and experiment design.
Qualification leadership: Qualification planning and execution tied to converter and RF performance requirements, including definition of stress conditions, coverage, and pass/fail criteria.
Production/test correlation: Bench-to-ATE correlation for converter metrics; support for test content definition, limits, guard-bands, and yield robustness.
Automation & process improvement: Measurement automation and data reduction (Python/MATLAB/instrument control), repeatable characterization “recipes,” and tooling that reduces cycle time and improves traceability.
Cross-functional collaboration: Crisp communication of risks, results, and recommendations to design/test/apps/program stakeholders to maintain schedule and quality.
Requirements
5+ years of relevant experience
Master's degree preferred in Electrical Engineering or related field
High-Speed Data Converter Validation: Deep hands-on experience evaluating and characterizing high-speed ADCs/DACs and interpreting core performance metrics (SNR/SFDR/ENOB, IMD, ACPR/EVM concepts where relevant).
Clocking/Jitter & Signal Integrity Awareness: Ability to analyze clock/jitter contributors and their impact on converter performance and spurious behavior.
Spur/Noise Debugging: Proven approach to isolate distortion/spurs via controlled experiments, configuration sweeps, and data-driven hypothesis testing.
Lab Automation & Data Analysis: Proven ability to automate tests and analyze large datasets (Python preferred; MATLAB acceptable).
Qualification Testing: Leadership in developing and executing qualification/characterization programs tied to product requirements.
Cross-Functional Execution: Track record of coordinating across design/test/apps to drive issues to closure and hit milestone.