Contract Engineer, Automotive

logcat.ai
Remote

About The Position

This is a scoped, deliverable-based contract role focused on building the automotive substrate adapter. The goal is to improve diagnostics for modern dual-OS cockpits on a single System-on-Chip (SoC), an area where cross-boundary diagnosis is currently challenging. This position offers a path to a full-time Member of Technical Staff role.

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 experience.
  • Proficient in day-to-day work with CLI-based AI coding tools like Claude Code (or an equivalent).

Nice To Haves

  • AAOS or AAOS SDV, including VHAL.
  • Hypervisor-based cockpits (QNX Hypervisor).
  • Functional safety (ISO 26262) literacy.
  • Vector toolchain (CANoe, CANalyzer).
  • QNX experience.

Responsibilities

  • Parse and correlate dual-OS cockpit dumps, including QNX SLOG2, DLT traces, Android IVI logs, perfetto, pcap, and CAN.
  • Solve cross-clock-domain correlation issues across DLT ECU time, QNX monotonic, kernel monotonic, and Android boottime/realtime.
  • Build the automotive diagnostic path, including UDS, DoIP, and DTCs.
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