AI Engineer, Physical Systems and Sensing

What you'll do

• Develop AI analysis pipelines for hardware-in-the-loop tests, including anomaly detection, root-cause analysis, and regression identification.
• Create LLM-powered telemetry and test-result workflows, plus ML-based monitoring and reporting.
• Build Python test and validation frameworks for software, firmware, and FPGA systems and integrate them into CI/CD pipelines.

What they ask for

• Strong Python proficiency and experience building production data pipelines and ML workflows.
• Experience with real-world sensor data, such as time-series analysis, signal processing, or anomaly detection.
• Familiarity with LLMs and AI tooling in engineering workflows.
• Background in hardware-in-the-loop, embedded systems, or real-time data streams; CI/CD experience and ability to collaborate with hardware and systems engineers.

Nice to have

• Defense or aerospace experience, including radar, RF/IQ data processing, or sensor fusion.
• Experience with CUDA, FPGA workflows, or GPU-accelerated computing.

Pay

$175,000 - $241,000 USD base salary

Tools

Python, Jenkins, Azure, Bitbucket, Docker, CUDA, FPGA

AI focus

Apply AI/ML and LLMs to analyze sensor and RF data, automate testing and root-cause investigation, and detect anomalies, drift, degradation, and failure modes in physical systems.