Data Scientist – Edge AI & Embedded Systems
Core
Deploying AI/ML models and data pipelines onto embedded hardware in air-gapped environments for tactical edge operations.
Role type
Senior IC Data Scientist (Edge AI & Embedded Systems)
Builds
Offline-native data and ML pipelines, optimized models for resource-constrained hardware, and embedded system configurations.
Domain
Defense & Intelligence Community (DoD/IC), Edge AI, Embedded Systems
Deliverable
production ML models | infrastructure
Required skills
AI/ML algorithms (Computer Vision, LLMs), Python, Linux system configuration, Docker, Model optimization (quantization, pruning), Embedded hardware troubleshooting
Preferred skills
Open-source AI landscape knowledge, MLOps practices, Low-level languages (C/C++), RF/Signal data analysis, Single Board Computer (SBC) experience
Technologies
PyTorch, TensorFlow, NumPy, pandas, scikit-learn, Bash, Docker, TensorRT, ONNX Runtime, llama.cpp, Linux kernels, x86, ARM, SoC, RISC-V
Responsibilities
Source, curate, clean, and label datasets from open-source repositories and operational sensor data; Train, fine-tune, and evaluate AI/ML models for specific mission use cases; Design evaluation methods and metrics to measure model accuracy, latency, and reliability; Optimize models for resource-constrained hardware; Build and deploy offline-native data and ML pipelines in containerized environments; Configure and troubleshoot Linux-based embedded systems; Engage with customers to understand expectations and ensure delivered products meet operational requirements
Seniority
Senior, hands-on IC
