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, Linux Kernel
Job not on LinkedIn
🕒 July 27
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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 ramdump and crash forensics: drgn, vmcoreinfo, ramdump parsing, post-mortem analysis under customer deadlines. • Reason across scheduler, memory management, and driver internals. • Ground remediations in kernel source.
🎯 Requirements
• 10+ years of relevant engineering experience. • Deep Linux kernel internals. • Crash and ramdump forensics, live and post-mortem. • Kernel tracing and profiling: ftrace, perf, eBPF. • Driver and BSP experience. • Strong C. • Proficient in day-to-day work with CLI-based AI coding tools like Claude Code (or an equivalent).
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