Your mission

Join us in safeguarding the sustainability of space operations through advanced space situational awareness (SSA) technologies. As part of our team, you will develop cutting-edge collision avoidance algorithms, enhance space situational awareness , and innovate tools for satellite operators. Your expertise in data science and physics will help us detect, predict, and mitigate orbital risks, ensuring safe and sustainable space exploration.

OKAPI:Orbits already brings together a highly diverse team , and we actively continue to strengthen this diversity which allows us to achieve higher performance and drive innovation.

Your tasks and responsibilities

- You will collaborate with a multidisciplinary team of aerospace engineers, data scientists, and software developers to integrate and optimize third-party sensor data sources within our SSA platform . Your contributions will directly enhance the accuracy, automation, and scalability of our orbital risk management solutions.
- Integrate third-party data sources into our platform, working closely with providers to seamlessly onboard their data.
- Develop, implement, and optimize high-precision algorithms for orbit propagation, orbit determination (OD) , sensor fusion, covariance modelling, and uncertainty quantification.
- Develop methods to fuse data from diverse sources into one common image of the space debris environment .
- Conduct validation and verification (V&V;) campaigns to benchmark and refine algorithmic performance against ground truth datasets.
- Work closely with software engineers to transition prototype algorithms into scalable, production-ready solutions.

Your profile

Must-have:

- M.Sc. or higher in Aerospace Engineering , Space Engineering, Applied Mathematics, Applied Physics, or a closely related field, or have prior work experience in the field of SSA/SST and related.




- A minimum of 5 years of relevant work experience is required. However, candidates with outstanding profiles may be considered with at least 3 years of experience.
- Strong theoretical and practical knowledge of astrodynamics, orbital mechanics, and flight dynamics.
- Experience in scientific programming using at least one of the following languages: Java, Fortran (90+), or Python .
- Ability to work in a fast-paced, collaborative, and research-driven environment.
- Valid working permit for Spain/EU .

Nice-to-have:

- Hands-on experience with space surveillance and tracking (SST) systems , including sensor tasking and catalog maintenance.
- Experience working with space agencies or private space companies in the 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 the sustainability of space and long-term spaceflight operations.

Why us?

- With a lean hierarchy and small working groups, you define your own way of work including versátil work hours.
- Work on groundbreaking space sustainability challenges with a team of top-tier engineers and scientists.
- After your on-boarding time in Braunschweig, you can choose between staying in our office (what we prefer), working from Spain (Madrid/Barcelona)
- Enjoytechnical freedom . Influence system architecture, research methodologies, and data integration approaches.
- Grow continuously with access to training budgets, industry conferences, and networking opportunities.
- Be part of a strongengineering culture , with regular knowledge-sharing sessions , technical deep dives, and innovation sprints.
- Great team spirit, with company-wide events and social activities like laser tag, dinners, and team-building outings.

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📌 Space Situational Awareness Engineer (Barcelona)
🏢 OKAPI: Orbits
📍 Barcelona