AI/ML and data fusion platform for space domain awareness operations
Awetomaton builds AI/ML models and multi-sensor data fusion systems for space operations, with a tech stack anchored in Python, PyTorch, and TensorFlow paired with container orchestration (Kubernetes, Helm) and infrastructure-as-code (Terraform, CloudFormation, Ansible). The hiring profile is heavily senior-skewed (7 of 9 engineering/research roles) and narrowly focused on ML and R&D, suggesting deep technical complexity in their domain rather than scaling headcount — consistent with projects centered on estimation algorithms, persistent custody tracking, and space object collection strategies.
Awetomaton is a small R&D-focused firm in Dayton, Ohio, founded in 2020, specializing in artificial intelligence and data fusion for space domain awareness (SDA) operations. The company employs around 11–50 people, with the majority in engineering and research roles. Their work spans AI/ML model development for optical/infrared (OPIR) systems, multi-sensor data fusion across diverse SDA sensor modalities, estimation algorithms for persistent object custody, and enterprise analysis platforms. They operate in a regulated, mission-critical environment where security, auditability, and authority-to-operate requirements shape both technical and organizational decisions.
Python, PyTorch, TensorFlow, Kubernetes, Helm, Terraform, CloudFormation, PostgreSQL, GitLab CI/CD, ArgoCD, and Argo Workflows. Security tooling includes Grype and Fortify.
Dayton, Ohio (45431). All hiring is currently in the United States.
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