About us:

Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.

Your role:

As a ML company we produce and utilize large amounts of aerial video data that we need to process and make useful for our teams globally. 

You will be a part of the ML team building tools to process, annotate and ingest copious amounts of visual data from our flight tests.

This has to be efficient, scalable and adhere to very specific requirements dictated by our certification efforts. 

The work spans building web APIs, Kubernetes workflows and Rust tools to, designing aircraft pose estimation algorithms.

You will also collaborate with our Data Management and Data Annotation teams, making sure they have everything they need to work smoothly. 

The majority of the tooling is written in Rust, running on Kubernetes, complemented by front-end technologies.

• Proven track record of coding in Rust
• Strong affinity to working with data, preferably video/images
• Familiarity and/or interest in Kubernetes
• Familiarity and/or interest with web technologies (web APIs, React, databases…)

• A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
• Difficult and interesting problems to solve. 
• Test flights in the Swiss Alps for you to join.
• Pilot license subsidy.
• Hybrid work setting.
• Learning & Development budget: visit conferences of your choice.
• Gym membership.