Software Engineer AI Applied
AST SpaceMobile Barcelona
Experteer Overview
In this role you will develop and maintain software platforms and internal tools while building data-driven ML solutions to optimize complex systems. You will work within a cross-functional team to process large data volumes, train AI models, and deploy analytics capabilities that inform performance and reliability.The position focuses on applying Python/C++ development and ML frameworks to real-world space network challenges. This is a chance to shape AI-enabled solutions for next-gen satellite broadband and contribute to mission-critical outcomes. You will collaborate to improve methodologies and deliver measurable impact.
Compensaciones / Beneficios- Develop and maintain software platforms and internal tools
- Design and develop Python and C/C++ applications for data processing, automation, and analytics
- Build pipelines for acquiring, organizing, validating, and exploiting large data sets
- Design, train, and validate ML/AI models for anomaly detection, fault detection, event classification, predictive analysis, and system behavior analysis
- Implement models using PyTorch, TensorFlow, or equivalents
- Create visualization systems, dashboards, and real-time reporting for technical analysis and performance tracking
- Develop test automation tools and large-scale result analysis solutions
- Perform statistical data processing to support validation and continuous improvement
- Integrate with production systems, internal tools, and data management platforms
- Participate in code reviews, define software architecture, and improve development practices
- Manage repositories and workflows using Git/GitLab
- Contribute to improvement of team methodologies, tools, and processes
- Degree in Computer Engineering, Telecommunications, Electronics, or similar
- 2-3 years of experience
- Solid experience in Python development
- Experience in C/C++ development
- Experience in data processing, analysis, and exploitation
- Experience in developing and training ML models
- Practical knowledge of PyTorch, TensorFlow, or similar
- Experience in anomaly detection, classification, fault detection, or predictive analysis
- Experience developing visualization tools, reporting, and dashboards
- Knowledge of Git/GitLab and collaborative workflows
- Fluent English
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