AI Infrastructure Engineer - Fury Team
Scout AI(4 months ago)
About this role
Scout is developing Fury, a robotic foundation model for defense, enabling autonomous and adaptable power across various domains. The company focuses on leveraging intelligent machines for national security, emphasizing real-world conflict applications in a fast-paced startup environment.
Required Skills
- Python
- Kubernetes
- AWS
- Data Pipelines
- Distributed Training
- ML Infrastructure
- GPU Optimization
- Docker
- Machine Learning
- Data Engineering
Qualifications
- Bachelor’s Degree in Computer Science or related field
About Scout AI
scoutco.aiScout AI develops foundation models for defense robotics, providing perception, planning, and decision-making capabilities tailored to autonomous ground and aerial systems. Their platform combines large-scale sensor fusion, simulation-driven training, and real-time inference to enable robust navigation, target detection, and mission orchestration in challenging operational environments. Scout AI emphasizes safety, explainability, and compliance with defense standards, and provides tooling for testing, validation, and secure deployment. Engineered for both low-latency embedded hardware and scalable cloud training, the company aims to accelerate field-ready autonomy for defense robotics.
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