AI Engineer, Physical Systems and Sensing at CHAOS Industries
El Segundo, CA
$145,000–$250,000from the description
Jul 14, 2026
El Segundo, CA
Jul 21, 2026
What this job asks for AI summary
This role focuses on building AI and ML systems to validate, monitor, and diagnose hardware and software in defense and sensing products — including radar, RF, and sensor fusion. Day-to-day work involves creating automated test pipelines, LLM-powered telemetry interpretation, anomaly detection, and intelligent monitoring dashboards integrated into CI/CD workflows. It suits an engineer with production-grade AI/ML experience applied to physical or IoT systems.
Senior level · 5+ years · Los Angeles-Long Beach-Anaheim, CA · Full-time
“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 190 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (software developers). range 100–300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $164,459 (middle half $130,334–$195,752). 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 (7)
The role sits at the intersection of software engineering and applied ML/data science — it primarily ships production AI/ML pipelines and test automation frameworks (→ 15-1252), but a 15-2051 Data Scientist read is plausible given the heavy ML/sensor-data focus.
The title carries no seniority level word; 'Unspecified' is used for the level advertised in the title. The 5+ years of AI/ML experience requirement and the expectation of building production systems and establishing team practices support a Senior classification.
Jenkins, Azure, and Bitbucket are listed together as CI/CD examples in the requirements section; Azure here clearly refers to Azure DevOps/Pipelines (CI/CD context), not the broader Azure cloud platform. They are captured as alternatives under Jenkins since the JD treats them as interchangeable CI/CD options.
Defense/aerospace domain experience (radar, RF/IQ, sensor fusion), CUDA/GPU computing, autonomous systems/robotics perception, performance/fault-injection testing, and scaling ML to regulated environments all appear under 'Nice to Have' and are marked preferred accordingly.
The posting explicitly states the role is on-site in El Segundo, CA (within the Los Angeles metro CBSA); remote=false.
No degree requirement is stated anywhere in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time-series analysis.
Read the full posting
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