RF Engineer

Що робити

Build robust detection pipelines that extract a reliable physical signal from cross-link RF data while remaining insensitive to everyday environmental variation.
Handle noisy channel estimates, phase drift, packet loss, hardware offsets, and differences between devices and deployments.
Build temporal detection and classification that distinguishes genuine sustained events from transient activity, environment-wide confounders, and cases of insufficient evidence.
Develop confounder-rejection reasoning so that environment-wide effects are not misclassified as localized events.
Build multi-band and cross-link inversion using physical models and learned features, followed by robust localization.

Strong background in RF sensing and wireless signal processing: channel state information (CSI), RSSI, multi-carrier/OFDM systems, amplitude/phase extraction, multipath, and the physics of RF propagation.
Hands-on experience with real RF/wireless hardware data. You should have dealt with noisy channel estimates, phase instability, hardware/carrier frequency offsets, antenna effects, calibration drift, and the gap between clean lab captures and messy real-world signals.
Strong understanding of RF signal-to-information inversion: extracting physical meaning from raw wireless measurements, and reasoning rigorously about what is and isn't recoverable from a given signal.
Experience solving temporal sensing problems: detecting sustained change in a physical environment against a learned baseline, and separating genuine events from transient or cyclical confounders.
Familiarity with the electromagnetic behaviour of materials (attenuation, permittivity, frequency-dependent effects, multi-band sensing) is highly valuable.

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