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logcat.ai

Contract Engineer, Automotive

Posted a month ago
10+ years experience
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AI Summary

Build an automotive substrate adapter to diagnose dual-OS cockpit dumps across SoC boundaries. Responsibilities include parsing logs, solving cross-clock-domain correlation, and building diagnostic paths using UDS and DoIP.

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.


The bar

• 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). It's how the team operates, not a nice-to-have.


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.


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.

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