Contract Engineer, Automotive
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logcat.ai
US
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.
Job 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.
A note on location
Remote, with four hours of overlap with Pacific or IST. We don't count hours. We ask for the overlap because this work involves a lot of come look at this trace with me, and that falls apart across a twelve-hour gap.
If you're in Seattle or Bengaluru, we'd like to see you in person sometimes. It isn't a condition of the 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).
What we offer you
- A front seat as we scale. Customer calls, the roadmap, the pipeline, how the company is actually doing. What you build carries your name on it, and the scope grows faster than the org chart does.
- Top-of-market salary. You're early enough that the ownership is real, not decorative. We'll walk through the full picture on the first call, and this shouldn't be a guessing game.
- AI, all the way down. We use it for everything: writing code, reviewing it, research, ops, internal tooling. Any tool that unblocks you, we buy. If you already work this way, you'll feel at home in a day.
- Your calls to make, from week one. Architecture, tooling, how the work gets done. These aren't consultations here.
- Support while you make them. The founders are hands-on. You own the decision but you don't make it alone.
- A room full of people who'd rather be doing this. Small team, senior, and kind in a way that's rare at this pace. People share what they know and help before they're asked. It's the part of this job we're proudest of.
What to expect after you apply
- Screening call with Head of People & Business Operations
- Technical conversation with Co-founder/ Head of Engineering
- Technical exercise with Co-founder/ Head of Engineering
- Final conversation with CEO
- References, then offer
In your application, tell us what you'd own here, and the hardest thing you've shipped in this domain.
Diagnose root cause across any signal your OS stack emits, remediate with cited patches, validate against OS-level test suites, and build features end to end, autonomously, across kernel, framework, modem, and bus.
Company size
2-10 employees
Industry
Software Development
Org type
Privately Held
Headquarters
Seattle
Diagnose root cause across any signal your OS stack emits, remediate with cited patches, validate against OS-level test suites, and build features end to end, autonomously, across kernel, framework, modem, and bus.
Company size
2-10 employees
Industry
Software Development
Org type
Privately Held
Headquarters
Seattle