AI Engineer, Physical Systems and Sensing
$175k - $241k • El Segundo, California, United States
Posted 10d ago
About the job
CHAOS Industries is seeking an experienced software engineer to establish and lead the company's practice of using AI to enhance the development and testing of its physical systems and sensing products. This role involves applying machine learning and AI to complex hardware systems, automating root cause analysis, building perception pipelines, interpreting sensor telemetry with LLMs, and deploying anomaly detection. The ideal candidate understands the challenges of physical systems and can build AI workflows that deliver tangible, real-world results. You will work on cutting-edge sensing and defense systems, developing AI-driven frameworks for validation, monitoring, and diagnosis of radar, RF, and sensor fusion products.
Responsibilities
- Build AI-driven analysis pipelines for hardware-in-the-loop test systems, including 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 extract actionable insights from sensor data.
- Develop end-to-end automated test and validation frameworks for software, firmware, and FPGA systems using Python, integrating into CI/CD pipelines.
- Create intelligent monitoring and reporting dashboards that use ML to identify drift, degradation, and subtle failure modes in physical systems.
- Collaborate with systems, hardware, and software teams to integrate AI-driven insights into product improvements.
- Help establish and scale the team's testing and validation capabilities as a foundational member.
- Work on-site in El Segundo, CA.
Requirements
- 5+ years of experience applying AI/ML to physical or IoT systems (e.g., manufacturing analytics, autonomous vehicles, robotics, sensor systems, industrial automation).
- Strong Python proficiency with hands-on experience building production-level data pipelines and ML workflows.
- Experience with real-world sensor data, including time-series analysis, signal processing, and anomaly detection.
- Familiarity with LLMs and AI tooling in engineering workflows (e.g., log analysis, code generation, root cause investigation).
- Background working with hardware-in-the-loop systems, embedded systems, or real-time data streams.
- CI/CD experience (Jenkins, Azure, Bitbucket) and comfort with Dockerized/cloud-deployed environments.
- Ability to work cross-functionally with hardware and systems engineering teams, understanding schematics and test racks.
Benefits
- Medical, dental, and vision benefits 100% paid for by the company
- 401k with 50% company match up to 6% of pay
- FSA, HSA, life insurance
- Free daily lunch
- ‘No meeting Fridays’
- Unlimited PTO
- Casual dress code
- Generous pre-IPO stock option grants
- Relocation assistance
- Annual bonuses (coming soon!)