Principal Software Engineer - Vehicle AI at General Motors
Olympia, WA
$216,400–$331,600from the description
Jul 15, 2026
Olympia, WA
Jul 21, 2026
What this job asks for AI summary
A principal-level engineering role focused on AI software for vehicle interiors, spanning architecture design to hands-on deployment of machine learning models — including voice assistants, driver monitoring, and cabin personalization — on automotive edge hardware. The position carries technical leadership responsibilities: setting the engineering roadmap, defining standards, and guiding senior engineers. It suits a deeply experienced engineer with a background in embedded systems, edge AI optimization, and automotive or similarly constrained platforms.
Senior level · 10+ years · Remote · Full-time
Advertised as Principal, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 15,700 people nationally plausibly meet what this posting asks for (software developers). range 6,600–23,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The title is 'Principal Software Engineer' but the actual requirements (10+ years total, 3+ years in a technical/architectural leadership role, end-to-end ownership of a component/division) are consistent with a Senior-level individual contributor. 'Principal' here reflects GM's internal leveling rather than org-wide technical authority across multiple teams, so the supported seniority band is Senior.
The role is nominally remote but candidates within 50 miles of Mountain View, CA are expected on-site 3 days/week; the CBSA is set to San Jose-Sunnyvale-Santa Clara (Mountain View is within that metro). The compensation range is explicitly noted as calibrated to the California Bay Area.
TensorRT is listed as the primary named tool for edge ML optimization; ONNX is listed alongside it as an alternative ('TensorRT, ONNX, or similar frameworks') — captured as alternatives on the same skill.
Linux, QNX, and VxWorks are listed together under OS Knowledge in the required qualifications as a disjunctive set ('Linux internals, or RTOS (QNX, VxWorks)'); Linux is the primary with QNX/VxWorks as alternatives. QNX also appears separately under preferred qualifications (AAOS/QNX integration), but that preferred mention does not elevate it to a standalone required skill.
Android Automotive OS (AAOS), Vehicle HAL (VHAL), voice assistant technologies (ASR/NLU/TTS), Driver Monitoring Systems, ISO 26262/ASIL, and an advanced degree are all listed under 'Preferred Qualifications' and are marked accordingly.
CI/CD appears only in the narrative 'What You'll Do' section (establishing best practices), not in the formal required qualifications block — marked as preferred.
The JD accepts 'equivalent practical experience' in lieu of the stated Bachelor's degree, so the degree requirement is set to None.
Compensation note in the JD explicitly states the range may not be representative for positions outside the California Bay Area.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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