logcat.ai
2 - 10 employees
🤖 Artificial Intelligence
🤝 B2B
🚘 Automotive
Artificial Intelligence • B2B • Automotive
logcat. ai is an AI-driven engineering platform that automates cross-layer root-cause analysis and remediation for device operating stacks (Android, Yocto/Linux and other embedded OSes). Its Diagnose product ingests bugreports, logcat, dmesg, modem traces, CAN captures and other device signals, correlates events across kernel, framework, modem and bus, and produces cited, auditable investigations and proposed patches (remediation in research preview). The company targets device engineering teams at mobile OEMs/ODMs, Tier‑1 suppliers, chipset/modem vendors and embedded-silicon customers, and offers cloud, dedicated-instance, and self-hosted BYOC deployments with strict data controls and auditability. Key capabilities include native parsers for many signal formats, multi-file delta comparisons, hypothesis-driven reasoning with line-level citations, and enterprise compliance features.
Member of Technical Staff – Telecom & Modem
🔥 0 minutes ago
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logcat.ai
2 - 10 employees
🤖 Artificial Intelligence
🤝 B2B
🚘 Automotive
Artificial Intelligence • B2B • Automotive
logcat. ai is an AI-driven engineering platform that automates cross-layer root-cause analysis and remediation for device operating stacks (Android, Yocto/Linux and other embedded OSes). Its Diagnose product ingests bugreports, logcat, dmesg, modem traces, CAN captures and other device signals, correlates events across kernel, framework, modem and bus, and produces cited, auditable investigations and proposed patches (remediation in research preview). The company targets device engineering teams at mobile OEMs/ODMs, Tier‑1 suppliers, chipset/modem vendors and embedded-silicon customers, and offers cloud, dedicated-instance, and self-hosted BYOC deployments with strict data controls and auditability. Key capabilities include native parsers for many signal formats, multi-file delta comparisons, hypothesis-driven reasoning with line-level citations, and enterprise compliance features.
📋 Description
• 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
🎯 Requirements
• 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)
🏖️ Benefits
• Competitive salary • Work directly with founders • Opportunity to own projects
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