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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. We recently raised a $2.55M pre-seed. The product is scaling and the customer list is growing. The team is still small, so you'll own what you build. Deepen kernel-level diagnosis and remediation. This is the foundational, cross-substrate seat: the platform's fixes are only as good as its kernel reasoning. Note: this seat opens later. We're listing it now so the right person can introduce themselves early. A note on location Remote, with at least four hours of overlap with Pacific or IST. We don't track hours. We ask for the overlap because a lot of this work is debugging together in real time, and that doesn't work across a twelve-hour gap. If you're in Seattle or Bengaluru, we'd like to meet in person now and then. It isn't a requirement. The bar 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). It's how the team operates, not a nice-to-have. What you'll do 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. Bonus Android kernel. ARM64 internals. Embedded / hardware bringup. drgn and crash tooling. Upstream contributions (patches accepted on LKML). Yocto distro bring-up. What we offer you A front seat as we scale. Customer calls, the roadmap, the pipeline, how the company is actually doing. Top-of-market salary and founding equity. You'll own a piece of what you build. The AI tools you need. We use AI across writing code, reviewing it, research, ops, and internal tooling. If something would help you work better, we'll get it. Early ownership, and full visibility. We move fast, and you'll help decide where. Comprehensive medical insurance for you and your family. Start-up perks and flexible time off, the kind people actually take. A small team that's easy to work with. People here like solving hard problems and helping each other out. What to expect after you apply Screening call with Head of People & Business Operations Technical conversation with Co-founder/CEO Technical exercise with Co-founder/ Head of Engineering Final conversation with Co-founder/CEO References, then offer In your application, tell us what you'd own here, and the hardest thing you've shipped in this domain. Originally posted on Himalayas