Member of Technical Staff, Telecom & Modem
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Key skills for this role
Key Skills for This Role
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The bar
• 10+ years of relevant engineering experience.
• Deep modem or baseband experience: bringup, debug, or protocol-stack work.
• Fluency with DIAG/QMI, QXDM/QCAT, and reading modem crash dumps.
• Working knowledge of 4G/5G NAS, RRC, and lower-layer behavior.
• IMS/VoLTE/VoNR debugging: SIP/IMS signaling and carrier field issues.
• Comfort at the RIL / radio HAL boundary.
• Proficient in day-to-day work with CLI-based AI coding tools like Claude Code (or an equivalent). It's how the team operates, not a nice-to-have.
What you'll do
• Build parsers and analysis for modem traces: DIAG, QMI, QXDM/QCAT, modem ramdumps and crash logs.
• Map observed failures to root cause across NAS, RRC, and L1/L2, and across the RIL / radio HAL interface into Android.
• Encode cellular-stack reasoning the platform uses to ground remediations.
Bonus
• Qualcomm modem internals.
• MediaTek modem familiarity (ELT / MTK logging).
• Carrier certification or lab/field debug experience.
• Any exposure to log-analysis or ML tooling.
• Network-side or RAN familiarity (gNB, RRC, NGAP, CU/DU/RU splits, open-RAN).
In your application, tell us what you'd own here, and the hardest thing you've shipped in this domain.
logcat.ai is the AI engineering layer for the operating-system stack. We build agentic systems for Linux and Android devices: we ingest the diagnostic artifacts a device emits (bugreports, logcat, dmesg, modem traces, ramdumps, perfetto, pcap, CAN) and help device makers diagnose, remediate, test, and author features across their OS stack, grounded in their own BSP. Think Datadog and Cursor combined for the OS layer. A VC-backed startup with a small, senior team — you work directly with the founders.
About logcat.ai
AI platform for device engineers that diagnoses and fixes Android and Linux operating-system problems.
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