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.
Contract Engineer, Automotive
Job not on LinkedIn
🔥 15 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
• Parse and correlate dual-OS cockpit dumps: QNX SLOG2, DLT traces, Android IVI logs, perfetto, pcap, CAN. • Solve cross-clock-domain correlation across DLT ECU time, QNX monotonic, kernel monotonic, and Android boottime/realtime. • Build the automotive diagnostic path: UDS, DoIP, DTCs.
🎯 Requirements
• 10+ years of relevant engineering experience. • Automotive embedded experience. • AUTOSAR (Classic and/or Adaptive). • CAN / CAN-FD and DBC-level fluency. • UDS / DoIP diagnostics, SOME/IP, and ECU or domain/zonal architecture. • DLT, with QNX a strong plus. • Proficient in day-to-day work with CLI-based AI coding tools like Claude Code (or an equivalent).
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