CHAOS Industries
AI Engineer, Physical Systems and Sensing
El Segundo, California, United States
Sponsorship not specified$145k-$250kDetected 7 days ago
PythonAzureCI/CDJenkinsMachine LearningData EngineeringLLMsFPGAEmbedded SystemsSystems EngineeringRoboticsSignal ProcessingSensorsLoad TestingBitbucket
About the role
- The ideal candidate has used machine learning and AI to make sense of complex hardware systems - whether that's automating root cause analysis in a production process, building perception pipelines for autonomous vehicles, using LLMs to interpret sensor telemetry, or deploying anomaly detection across IoT networks.
- You understand that physical systems are messy, complex, and high-stakes, and you know how to build AI workflows that deliver real-world results.
Responsibilities
- 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 that interpret system telemetry, summarize test results, and surface actionable insights from large volumes of 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 go beyond pass/fail - using ML to identify drift, degradation, and subtle failure modes in physical systems
- We're looking for an experienced software engineer to start Chaos's practice of using AI to better build and test our systems.
- At CHAOS, you'll apply this skillset to cutting-edge sensing and defense systems - building AI-driven frameworks that validate, monitor, and diagnose hardware and software across radar, RF, and sensor fusion products.
Requirements
- 5+ years of experience applying AI/ML to physical or IoT systems - e.g., manufacturing analytics, autonomous vehicles, robotics, sensor systems, industrial automation, or similar domains
- Strong Python proficiency with hands-on experience building data pipelines and ML workflows (not just Jupyter notebooks - production systems)
- Experience with real-world sensor data: time-series analysis, signal processing, anomaly detection, or similar
- Familiarity with LLMs and AI tooling in engineering workflows (e.g., using LLMs for log analysis, code generation, root cause investigation)
- Ability to work cross-functionally with hardware and systems engineering teams - you can read a schematic, understand a test rack, and talk to an RF engineer
Nice to have
- Defense or aerospace domain experience (radar, RF/IQ data processing, sensor fusion)
- Experience with CUDA, FPGA workflows, or GPU-accelerated computing
- Background in autonomous systems, self-driving vehicles, or robotics perception pipelines
- Performance testing, fault injection, or simulation-based validation
- Experience scaling AI/ML systems from prototype to production in regulated environments
- Team Growth: 350 employees and counting across 5 global offices
- If your compensation requirements fall outside of the range, we still encourage you to apply.
- Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach.
Compensation
- Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
- The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only.
Benefits
- Medical, dental, and vision benefits 100% paid for by the company
- 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
- Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
- Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
- The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits.
- Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
- CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners.
Company info
- What We're Looking For
Apply directly at CHAOS Industries →Create a free account for alerts like thisView CHAOS Industries immigration profile
This listing is sourced directly from CHAOS Industries's careers page and normalized into a canonical job model.