AI Engineer: Sensing & Physical Systems

CHAOS Industries; El Segundo (CA); On-site; USD 145,000 - 250,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Free lunch

No meeting Fridays

Unlimited PTO

Job summary

CHAOS Industries is seeking an experienced AI Engineer to advance its practice of AI-driven testing for physical systems and sensing. You will build AI-driven analysis pipelines for hardware-in-the-loop test systems, interpret telemetry with LLMs, and deploy end-to-end validation frameworks across radar, RF, and sensor fusion products.

The role requires 5+ years applying AI/ML to physical or IoT systems, strong Python/data-pipeline skills, and experience with real-time sensor data and HIL

Qualifications

• 5+ years applying AI/ML to physical or IoT systems.
• Weakness to production: strong Python and data pipelines.
• Experience with real-time sensor data and anomaly detection.
• Familiar with LLM tooling in engineering workflows.
• Experience with hardware-in-the-loop and embedded systems.

Responsibilities

• Build AI-driven analysis pipelines for hardware‑in‑the‑loop test systems, including anomaly detection and root-cause analysis across sensor and RF data.
• Design and deploy LLM‑powered workflows that interpret system telemetry and surface insights from large sensor datasets.
• Develop end-to-end automated test frameworks for software, firmware, and FPGA systems and integrate into CI/CD pipelines.
• Create intelligent dashboards to identify drift, degradation, and subtle failure modes in physical systems.
• Collaborate with systems, hardware, and software teams to close the loop between AI insights and product improvements.
• Help establish and scale the team’s testing and validation capabilities as a foundational member.
• Work on-site in El Segundo, CA.

Skills

AI/ML for hardware

Python data pipelines

Time-series analysis

LLMs in eng workflows

HIL systems

CI/CD

Cross-functional collab

Tools

Jenkins

Azure

Bitbucket

Docker

CUDA

Job description

CHAOS Industries is seeking an experienced AI Engineer to advance its practice of AI-driven testing for physical systems and sensing. You will build AI-driven analysis pipelines for hardware-in-the-loop test systems, interpret telemetry with LLMs, and deploy end-to-end validation frameworks across radar, RF, and sensor fusion products.

The role requires 5+ years applying AI/ML to physical or IoT systems, strong Python/data-pipeline skills, and experience with real-time sensor data and HIL