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AI Summary
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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