Computer Vision Engineer - Payload Data

Computer Vision Engineer
- Payload Data

Join to apply for the Computer Vision Engineer
- Payload Data role at Vyoma.

With thousands of satellites in orbit providing us with critical services like telecommunications, geolocation and meteorology, ensuring their safety and the long‑term sustainability of the space environment is at the core of our mission. Vyoma’s vision is to build Europe’s first sovereign space surveillance solution that will be capable of mapping all centimetre‑scale space objects orbiting in low‑Earth orbit (LEO).

To achieve this, we are looking for an experienced Computer Vision Engineer who will extend our image processing pipelines, transforming raw payload data into high‑level information. Your work will sit at the intersection of advanced computer vision algorithms, high‑performance software and mathematical modelling, shaping how data is processed both on‑ground and on‑board. You will have the opportunity to influence architectural decisions, explore novel algorithmic approaches, and see your work transition from concept to deployment.

Important: Please only apply if you have a valid working permit in Germany (or the EU).

• Develop, maintain and deploy high‑performance algorithms based on Payload Image Data, which include Object Recognition, Tracking and Uncertainty Quantification
  .
• Produce high‑quality code that conforms to the design and functional requirements, including validation plans to ensure that code is fully unit‑tested before integration.
• Select and integrate the most suitable technologies and frameworks to implement near real‑time algorithms optimised for speed, reliability, and execution within constrained compute and resource budgets.
• Perform thorough and thoughtful code reviews for other teammates.

• 3+ years of professional software development experience and proven record of deploying algorithms to production
  .
• Strong background in software engineering, image processing and mathematical algorithms (e.g., optimisation, signal processing, probabilistic methods).
• Very strong programming skills in Python
  .
• Good communication skills and the ability to clearly explain technical concepts.
• Ability to work independently and as part of a team.

• Experience with onboard or embedded systems (real‑time or near real‑time constraints) and at least one embedded‑oriented language, preferably C++ and/or Rust
  .
• Familiarity with hardware acceleration:
  SIMD, FPGA
  , or dedicated vision accelerators such as DPU
  ’s.

• We nurture your growth. Our employees are key to the success of Vyoma, that is why we want you to grow fast and assume greater responsibility. We also invest in your training while on the job.
• Transparency. At each step of the way, from recruitment to onboarding to having a permanent position, you will know where you stand and have a clear roadmap, with timeline, goals and expectations.
• Accountability and Feedback. Fostering open and direct lines of communication is crucial for the success of individuals and our teams, that is why we encourage people to speak up and maintain flat hierarchies.
• Your time is valuable. Work should not trump private life, that is why we offer 30 days of holidays, the possibility to work from home, and flexible working hours.
• The perks. Effort should be compensated appropriately, which is why we offer a competitive salary, a private pension plan, transportation allowances, 5 days of paid sick leave for childcare per year for all parents and other benefits.
• We are all social animals. We don't just work hard, but we know how to have fun together during our weekly Happy Hours and Game Nights.

Vyoma is on a mission to solve one of the big issues humanity faces today: the problem of space debris…