Galileo Software Engineer (f/m/d) - AI development

Overview

Start date: ASAP
Location: Gilching, Germany
Working hours: full time, 40h/week
Requirement: EU citizenship
Submission deadline: 2nd of June 2025

About LSE Space:
We are an independent provider of space services, covering the entire life cycle of space systems, as the main subsidiary of SSC's Engineering Services. Employing over 190 engineers, we provide services to the international space market, including support for all phases of a space mission or full service, operations, independent consulting and training.

Are you fueled by a passion for satellite operations and ready to embark on an exciting journey with us to help Earth  benefit from space? 

If you answered yes to the question, we invite you to seize the opportunity to make a significant impact as a Software Engineer. We are seeking dynamic and experienced individuals to contribute to our software services in Galileo. 

Security:
In line with security requirements for the concerned missions of this position, the candidate has to hold a European citizenship. Evidence of eligibility will be required from candidates as part of the recruitment process. Furthermore, in view of the nature of the work the company is in, all potential employees will undergo stringent reference and identity checks.

What you´ll do

You will be working in an international and competitive environment on a high-profile European Project and will be able to further develop your technical as well as your leadership skills.
As Planning Engineer you will be responsible for the following tasks:

• Contribute to define the concept and implementation of AI in the existing tools
• Review and assess existing prototype using vLLM, LiteLLM, Vespa, and OpenWebUI
• Identify areas for improvement or optimization, especially in terms of validation and data access and implement solutions
• Implement robust data validation framework, including validation of embedding databases, data flows, and model outputs
• Implement and enforce proper authentication and authorisation mechanisms to control access to different data collections
• Integrate real-time data monitoring and logging, including error tracking, data anomalies, and performance bottlenecks.
• Enhance data ingestion and access layers ensuring that data flows efficiently and securely into the pipelines
• Conduct end-to-end testing and continuous validation
• Identify existing or future needs for further development in the frame of the DLR GfR Flight and Ground improvement initiatives and navigation tools

What we are looking for

• A degree in Computer Science, engineering or in a similar subject
• Proficiency in Python, particularly with PyTorch, Polars, and scikit-learn, as well as at least one systems’ level language (Rust, Go, or C++)
• Proven experience designing, debugging, and maintaining AI-backed data pipelines and machine learning workflows
• Experience with LLM inference technologies and vector databases, as well as text and visual embedding ML models
• Competence in building and exposing asynchronous APIs (e.g., FastAPI, Actix-Web) and integrating them 
• Demonstrable experience with pipeline/data reproducibility and tracking tools (e.g., DVC, MLflow)
• Practical familiarity with MCP (Model Context Protocol) server & client technologies and related standards
• Fluent in English, both in speech and writing