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Description

Daedalean is a technology company focused on developing autonomous piloting systems for aircraft. Here are the key points about the company:

1. Founding: Established in 2016
2. Core business: Creating autonomous piloting software systems for:
   • Current civil aircraft
   • Future advanced aerial mobility vehicles
3. Team composition:
   • Over 150 employees
   • 17 PhDs
   • 18 pilots
   • Experts in various fields including:
     • Machine learning
     • Robotics
     • Computer vision
     • Path planning
     • Aviation-grade software engineering
     • Certification
     • Safety assessment
     • Flight testing
4. Locations:
   • Zürich, Switzerland
   • Riga, Latvia
   • Phoenix, Arizona (USA)

Daedalean appears to be at the forefront of integrating advanced technologies like artificial intelligence and computer vision into aviation, with the goal of enhancing aircraft autonomy. Their focus on both current and future aircraft suggests they're working on solutions that can be implemented in existing planes as well as developing technologies for next-generation aerial vehicles.

Your Role:

As a Machine Learning Engineer at our aviation-focused company, you'll be instrumental in processing and utilizing extensive aerial video datasets to support our global teams. Your responsibilities will include:

1. Developing tools for processing, annotating, and ingesting large volumes of visual data from flight tests.
2. Ensuring data handling is efficient, scalable, and compliant with our stringent certification requirements.
3. Working on diverse projects ranging from:
   • Building web APIs
   • Creating Kubernetes workflows
   • Developing Rust-based tools
   • Designing aircraft pose estimation algorithms
4. Collaborating closely with Data Management and Data Annotation teams to streamline their workflows.

Our tech stack primarily consists of Rust-based tools running on Kubernetes, complemented by front-end technologies.

Key Qualifications:

• Demonstrated expertise in Rust programming
• Strong aptitude for working with data, particularly video and images
• Familiarity with or keen interest in Kubernetes

• Knowledge of or enthusiasm for web technologies (APIs, React, databases) We Offer:

• Collaboration with top-tier engineers and researchers from renowned companies and institutions

• Challenging and intellectually stimulating problems to solve
• Opportunities to join test flights in the Swiss Alps
• Pilot license subsidy
• Flexible hybrid work environment
• Personal learning and development budget for conferences
• Gym membership

Join us in shaping the future of autonomous aviation technology!

Location:
Zurich

Tags

#Aircraft

# Piloting Systems

# Flight Software

# Vehicles