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Space Situational Awareness Engineer(m/w/x)
Developing high-precision algorithms for orbit propagation and sensor fusion for space operations sustainability. M.Sc. or higher in a related field, with astrodynamics knowledge, required. Flexible work hours, training budgets, and industry conference attendance.
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, sensor tasking, and catalog maintenance
- 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 and determination
- Optimize algorithms for sensor fusion, covariance modeling, and uncertainty quantification
- Create methods to fuse data from diverse sources
- Conduct validation and verification campaigns
- Benchmark algorithmic performance against ground truth datasets
- 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
- Training budgets
Learning & Development
- Industry conferences
- Knowledge-sharing sessions
- Technical deep dives
Career Advancement
- Networking opportunities
Startup Environment
- Strong engineering culture
- Innovation sprints
Informal Culture
- Team spirit
Team Events
- Company-wide events
- Social activities
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 sensor fusion for space operations sustainability. M.Sc. or higher in a related field, with astrodynamics knowledge, required. Flexible work hours, training budgets, and industry conference attendance.
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, sensor tasking, and catalog maintenance
- 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 and determination
- Optimize algorithms for sensor fusion, covariance modeling, and uncertainty quantification
- Create methods to fuse data from diverse sources
- Conduct validation and verification campaigns
- Benchmark algorithmic performance against ground truth datasets
- 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
- Training budgets
Learning & Development
- Industry conferences
- Knowledge-sharing sessions
- Technical deep dives
Career Advancement
- Networking opportunities
Startup Environment
- Strong engineering culture
- Innovation sprints
Informal Culture
- Team spirit
Team Events
- Company-wide events
- Social activities
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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