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Space Situational Awareness Engineer(m/w/x)
Developing high-precision algorithms for orbit propagation and determination on an SSA platform. Scientific programming in Java, Fortran, or Python required. Flexible work hours, access to training budgets.
Requirements
- M.Sc. or higher in Aerospace Engineering, Space Engineering, Applied Mathematics, Applied Physics, or related field, or prior work experience in SSA/SST
- Strong theoretical and practical knowledge of astrodynamics, orbital mechanics, and flight dynamics
- Scientific programming experience in Java, Fortran (90+), or Python
- Ability to work in fast-paced, collaborative, research-driven environment
- Currently based in Germany or willing to relocate
- Valid working permit for Germany/EU
- Hands-on experience with space surveillance and tracking (SST) systems
- Experience working with space agencies or private space companies in SSA/SST field
- Familiarity with space surveillance and tracking systems
- Understanding of space policy and compliance frameworks
- Experience with AI/ML applications for anomaly detection, pattern recognition, or orbit prediction in SSA applications
- Interest in contributing to space sustainability and long-term spaceflight operations
Tasks
- Collaborate with aerospace engineers, data scientists, and software developers
- Integrate third-party sensor data into the SSA platform
- Develop high-precision algorithms for orbit propagation
- Implement algorithms for orbit determination (OD)
- Optimize sensor fusion techniques
- Model covariance and quantify uncertainty
- Fuse data from diverse sources into a unified space debris image
- Conduct validation and verification campaigns
- Benchmark algorithmic performance against ground truth datasets
- Refine algorithms based on validation results
- Transition prototype algorithms into production-ready solutions
Work Experience
- 3 - 5 years
Education
- Master's degree
Languages
- German – Native
Tools & Technologies
- Java
- Fortran
- Python
- AI/ML
Benefits
Flexible Working
- Flexible work hours
Additional Allowances
- Access to training budgets
Learning & Development
- Access to industry conferences
- Knowledge-sharing sessions
- Technical deep dives
Career Advancement
- Access to networking opportunities
Startup Environment
- Innovation sprints
Team Events
- Company-wide events
- Social activities
- Team-building outings
Free or Subsidized Food
- Monthly all-hands lunches
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Space Situational Awareness Engineer(m/w/x)
Developing high-precision algorithms for orbit propagation and determination on an SSA platform. Scientific programming in Java, Fortran, or Python required. Flexible work hours, access to training budgets.
Requirements
- M.Sc. or higher in Aerospace Engineering, Space Engineering, Applied Mathematics, Applied Physics, or related field, or prior work experience in SSA/SST
- Strong theoretical and practical knowledge of astrodynamics, orbital mechanics, and flight dynamics
- Scientific programming experience in Java, Fortran (90+), or Python
- Ability to work in fast-paced, collaborative, research-driven environment
- Currently based in Germany or willing to relocate
- Valid working permit for Germany/EU
- Hands-on experience with space surveillance and tracking (SST) systems
- Experience working with space agencies or private space companies in SSA/SST field
- Familiarity with space surveillance and tracking systems
- Understanding of space policy and compliance frameworks
- Experience with AI/ML applications for anomaly detection, pattern recognition, or orbit prediction in SSA applications
- Interest in contributing to space sustainability and long-term spaceflight operations
Tasks
- Collaborate with aerospace engineers, data scientists, and software developers
- Integrate third-party sensor data into the SSA platform
- Develop high-precision algorithms for orbit propagation
- Implement algorithms for orbit determination (OD)
- Optimize sensor fusion techniques
- Model covariance and quantify uncertainty
- Fuse data from diverse sources into a unified space debris image
- Conduct validation and verification campaigns
- Benchmark algorithmic performance against ground truth datasets
- Refine algorithms based on validation results
- Transition prototype algorithms into production-ready solutions
Work Experience
- 3 - 5 years
Education
- Master's degree
Languages
- German – Native
Tools & Technologies
- Java
- Fortran
- Python
- AI/ML
Benefits
Flexible Working
- Flexible work hours
Additional Allowances
- Access to training budgets
Learning & Development
- Access to industry conferences
- Knowledge-sharing sessions
- Technical deep dives
Career Advancement
- Access to networking opportunities
Startup Environment
- Innovation sprints
Team Events
- Company-wide events
- Social activities
- Team-building outings
Free or Subsidized Food
- Monthly all-hands lunches
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Unbekannt
Industry
Aerospace
Description
The company develops advanced space situational awareness (SSA) technologies to safeguard space operations sustainability and mitigate orbital risks.
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