AI Engineer, Physical Systems and Sensing

CHAOS Industries is redefining modern defense with a multi-product portfolio powered by Coherent Distributed Networks. We're looking for an experienced software engineer to apply AI to build and test physical systems, including radar, RF, and sensor fusion products. The role involves developing AI-driven analysis pipelines, LLM-powered workflows, and automated test frameworks, working on-site in El Segundo, CA.

• Build AI-driven analysis pipelines for hardware-in-the-loop test systems: automated anomaly detection, root cause analysis, and regression identification across sensor and RF data
• Design and deploy LLM-powered workflows to interpret system telemetry, summarize test results, and surface actionable insights from sensor data
• Develop end-to-end automated test and validation frameworks for software, firmware, and FPGA systems using Python, integrated into CI/CD pipelines
• Create intelligent monitoring and reporting dashboards using ML to identify drift, degradation, and subtle failure modes
• Collaborate with systems, hardware, and software engineering 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

• 5+ years of experience applying AI/ML to physical or IoT systems (e.g., manufacturing, autonomous vehicles, robotics, sensor systems)