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Barcelona, Catalunya, España
Onsite
AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
Position Overview
We are seeking a Software and Applied AI Engineer responsible for the development and maintenance of software platforms and internal tools, as well as the design and implementation of machine learning and data-driven solutions for advanced analysis and system optimization.
Key Responsibilities:
• Development and maintenance of software platforms and internal company tools
• Design and development of applications in Python and C/C++ focused on data processing, automation, and advanced analytics
• Development of pipelines for acquisition, organization, validation, and exploitation of large volumes of test and production data
• Design, training, and validation of Machine Learning and Artificial Intelligence models applied to anomaly detection, early fault detection, event classification, predictive analysis, and system behavior analysis
• Implementation of models using PyTorch, TensorFlow, or equivalent frameworks
• Development of visualization systems, dashboards, and real-time reporting tools for technical analysis and performance tracking
• Development of test automation tools and large-scale result analysis solutions
• Statistical data processing and analysis to support validation and continuous improvement of products and processes
• Integration with production systems, internal tools, and data management platforms
• Participation in code reviews, definition of software architecture, and improvement of development best practices
• Management of repositories and collaborative workflows using Git/GitLab
• Active contribution to the improvement of team methodologies, tools, and processes
Qualifications
Education:
Degree in Computer Engineering, Telecommunications, Electronics, or similar
Experience:
A minimum of 2-3 years
• Solid experience in software development with Python
• Experience in C/C++ development
• Experience in data processing, analysis, and exploitation
• Experience in developing and training Machine Learning models
• Practical knowledge of frameworks such as PyTorch, TensorFlow, or similar
• Experience in anomaly detection, classification, fault detection, or predictive analysis
• Experience developing visualization tools, reporting, and dashboards
• Knowledge of version control tools and collaborative workflows using Git/GitLab
• Fluent level of English
Preferred Qualifications:
• Experience working with large volumes of industrial or test data
• Knowledge of MLOps, model deployment, and maintenance
• Experience in data pipeline automation
• Experience with SQL/NoSQL databases and data analysis tools
• Knowledge of distributed architectures and real-time processing
Soft Skills:
• Strong analytical skills and results-oriented mindset
• Ability to work autonomously
• Strong problem-solving skills using data-driven approaches
• Analytical thinking and continuous improvement mindset
• Strong communication skills and teamwork ability
• Ability to transform complex data into actionable insights
• Interest in innovation and practical application of AI in real environments
Technology Stack:
• Python
• C/C++
• PyTorch
• TensorFlow
• Git / GitLab
Physical Requirements
• Ability to work in a standard office environment and use a computer for extended periods
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
