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.

We would like to share with you that research shows that women are less likely to apply for a position unless they meet 100% of the listed requirements. Please know that if it’s your case - but you are passionate about space technology, building reliable software, and contributing to a more sustainable space environment - we

strongly encourage you to apply . 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, prod

📌 Space SSA Engineer (Madrid)
🏢 OKAPI: Orbits
📍 Madrid