Data Scientist - Edge AI & Embedded Systems
Core
Develop and deploy AI/ML models (computer vision, LLMs) for mission-specific use cases on resource-constrained edge hardware.
Role type
Senior IC Data Scientist (Edge AI & Embedded Systems)
Builds
Offline-native data and machine-learning pipelines, optimized models for tactical edge deployment
Domain
Defense/Intelligence, Edge AI, Embedded Systems
Deliverable
production ML models
Required skills
AI/ML algorithms, Computer Vision, LLMs, Python, Linux, Docker, Model Optimization (quantization/pruning), Embedded Systems, RF/Signal Analysis
Preferred skills
DoD/Intelligence Community experience, Data preparation, Open-source AI landscape, Hardware architectures (x86/ARM/SoC), Low-level programming (C/C++), MLOps
Technologies
PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, Bash, TensorRT, ONNX Runtime, llama.cpp, ARM, Arduino, Raspberry Pi, NVIDIA Jetson, C, C++, Java, Git, GitHub, GitLab, Hugging Face, Kaggle
Responsibilities
Source, curate, clean, and label datasets; Train, fine-tune, and evaluate AI/ML models; Optimize models for resource-constrained hardware; Build and deploy offline-native pipelines; Configure and troubleshoot Linux-based embedded systems; Analyze data from digital communication systems (RF, cellular, WiFi)
Seniority
Senior, hands-on IC
