Senior Behavior Planning Software Engineer - ADAS at Lucid Motors
Newark, CA
$158,400–$217,800
Jul 30, 2026
Newark, CA
Sep 24, 2026
What this job asks for AI summary
A behavior planning engineer role on Lucid Motors' ADAS/Autonomous Driving team, focused on designing, prototyping, and shipping planning and prediction algorithms for autonomous vehicles. Day-to-day work spans managing the software stack, developing machine learning-based planning solutions, and extracting critical scenarios from fleet and simulation data. Best suited for engineers with a background in ADAS/AD software stacks or robotics.
Mid level · 3+ years · Bachelor's required · Full-time
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
Rare in this occupation — lead with these, and say what you built with them.
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).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 2, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location is specified in the posting; CBSA and state fields are left blank. Lucid Motors is headquartered in Newark, CA (San Francisco Bay Area), but this cannot be confirmed from the posting text alone.
The degree requirement states 'BS or MS/PhD (preferred)' — a Bachelor's is the stated minimum, so the degree requirement is set to Bachelors. The MS/PhD preference is not a hard gate.
The '3+ years' experience figure appears in the Must Haves section tied to C++ and Python with relevant data analysis libraries; it is treated as both the role-level minimum and the per-skill years demanded for those two languages.
Non-ML planning methods are listed as a Must Have but name no specific technology or tool, so they are omitted per the generic-concept rule.
Background in perception, environment modeling, prediction, or planning (ADAS/AD or robotics) is listed under Preferred and names no single concrete tool — omitted as a domain/background descriptor rather than a named technology.
Large-scale data processing for perception/planning stacks is listed as a plus but names no specific technology — omitted for the same reason.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML development.
Read the full posting
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