Research Engineer
Pubblicato il 06-09-2026 - Ecosmic in Asti
Location:
Fully remote from Italy. Candidates must reside or be willing to relocate to Italy for tax and legal compliance purposes. No visa sponsorship.
Type: Full-time
Experience: 3+ years
Salary: €36,000 - €48,000
Starting date: December 2026, preferably earlier.
Who We Are
Ecosmic is on a mission to reduce threat exposure in space by building software for Space Domain Awareness.
We are a high-tech, data-driven space startup, bringing together an international team of engineers and computer scientists. We move fast, think deeply, and care about building things that matter.
We're looking for a Research Engineer with at least 3 years of experience and a background in Mathematical Engineering (or a closely related field) to join our team. The role focuses on the development, validation, and optimisation of mathematically complex algorithms, ensuring numerical correctness and high-performance implementation across our software stack.
The role combines software and algorithms development, giving you the opportunity to work across R&D; and software infrastructure.
What You'll Do
You will develop, review, and optimise mathematically complex algorithms that power our space awareness platform, ensuring both numerical correctness and production-grade performance. You will work closely with space engineers to improve computational efficiency, and software engineers to streamline data processing pipelines, and provide expert technical review of algorithmic implementations.
Responsibilities
- Implementing complex mathematical models and algorithms (e.g. interpolators, covariance generation, Kalman filter)
- Reviewing the numerical implementations by space engineers across multiple projects and algorithms
- Data structuring (e.g. pre-building datasets) and working on data quality and preprocessing
- Continuously optimising code to improve performance and minimise latency
Who You Are
- Master's degree in Mathematics, Mathematical Engineering, Computer Science with a strong mathe