[Hiring] Contract Engineer, Automotive @logcat.ai

Role Description

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.

Location: Remote (4h overlap with Pacific or IST; Seattle or Bengaluru on-site preferred). Contract.

Qualifications

• 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).

Requirements

• 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.

Benefits

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

In your application, tell us what you'd own here, and the hardest thing you've shipped in this domain.