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Automotive

Contract Engineer, Automotive

Remote (4h overlap with Pacific or IST; Seattle or Bengaluru on-site preferred)Contract
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Build the automotive substrate adapter. Modern cockpit dumps are dual-OS on one SoC, and nobody diagnoses across that boundary well. You'll change that.

This is a scoped, deliverable-based contract with a path to a full-time Member of Technical Staff role.

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.

The bar

A quick, honest gut-check before you spend time on an application. If most of this sounds like you, we'd genuinely love to talk. If it's not you yet, no hard feelings, and please keep an eye on our other roles as they open.

  • 0110+ years of relevant engineering experience.
  • 02Automotive embedded experience.
  • 03AUTOSAR (Classic and/or Adaptive).
  • 04CAN / CAN-FD and DBC-level fluency.
  • 05UDS / DoIP diagnostics, SOME/IP, and ECU or domain/zonal architecture.
  • 06DLT, with QNX a strong plus.
  • 07Proficient 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.
§ 01 — What you'll do
  • 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.
§ 02 — Bonus
  • AAOS or AAOS SDV, including VHAL.
  • Hypervisor-based cockpits (QNX Hypervisor).
  • Functional safety (ISO 26262) literacy.
  • Vector toolchain (CANoe, CANalyzer).

Ready to apply?

Applications go to our hiring pipeline. Tell us what you'd own here, and the hardest thing you've shipped in this domain.

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