Daedalean AI

Phoenix, Arizona, USA
94 Total Employees
Year Founded: 2016

Similar Companies Hiring

Virtual Reality • Software • Hardware • Defense • Aerospace
3 Offices
186 Employees
Software • Manufacturing • Information Technology • Hardware • Defense • Artificial Intelligence • Aerospace
Irvine, CA
150 Employees
Aerospace • Defense
US
24 Employees
Jobs at Daedalean AI
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

3 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
As a Sensor Fusion Engineer, you'll integrate various sensors into systems, design algorithms for data fusion, and validate performance in real-world environments.
3 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
Lead complex cross-team projects, manage execution, track progress, resolve roadblocks, and collaborate with stakeholders to ensure successful delivery.
5 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
Develop and implement computer vision algorithms and deep learning models to improve accuracy and reliability. Collaborate with teams and test systems in various conditions.
7 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
Internship opportunities are available in various teams focused on AI and autonomy in drones. Candidates should express their interests in related fields like Deep Learning, Computer Vision, or Hardware design.
7 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
The Safety Engineer will perform Safety Assessments for Defense Systems, document analyses, and ensure compliance with safety requirements in system design.
16 Days AgoSaved
Hybrid
Zürich, CHE
Aerospace
This role involves decomposing system requirements, designing software architectures, implementing software, and performing software verification for aviation safety-critical AI systems.
16 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
The Full Stack Engineer will design, develop, and maintain web applications using Angular and Go, implement CI/CD pipelines, and ensure database performance.
24 Days AgoSaved
In-Office
Zürich, CHE
Aerospace
Develop and certify machine learning models for computer vision in aviation, ensuring strong performance and compliance with safety standards.