Propair Flight Kft.
Budapest, Soroksári út 48.
60% irodai munkavégzés, 40% távmunka
800k – 1M HUF alkalmazotti havi bruttó
Elvárások
- Python
- C++
- AI
- Machine Learning
- Angol (B1)
Előnyt jelentő készségek
- Unreal Engine
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
- Strong proficiency in Python and solid working knowledge of C++
- Hands-on experience with machine learning frameworks
- Ability to design modular, efficient, and scalable AI services for production environments
- Solid understanding of system design, memory management, and performance optimization
in hybrid AI/simulation pipelines - A genuine interest in aviation, flight systems, or aerospace engineering, with motivation to
apply AI in this field
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
Since 2016, Propair Flight has been developing virtual aircraft and airports, software solutions, and cloud-based data analytics systems for flight simulators. As a member of the AXIS Aviation Group, our goal is to improve flight safety and make pilot training more efficient by developing top-tier Full Flight and VR simulators.
What is it like working with us?
- Our motivated team consists of pilots and aviation enthusiasts, software developers, 3D artists, Cloud IoT and machine learning experts, and mobile/web developers
- You will continuously grow, and we support flexible and remote work
- You’ll work in a modern office surrounded by the latest software and aircraft simulator technologies – and sometimes, we even go flying
- Work schedule: 40 hours/week full-time.
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Design and implement AI-driven backend modules to support next-generation flight training systems
- Develop and maintain evaluation and scoring engines, leveraging AI/ML models to assess pilot performance and scenario outcomes
- Integrate NLP, computer vision, or anomaly detection models into aircraft simulation workflows (e.g. debriefing, training assistance)
- Build pipelines for data ingestion, normalization, and labeling from flight logs, simulator exports, and real-world recordings
- Collaborate with simulation engineers to ensure real-time compatibility between AI components and existing Python/C++ systems
- Monitor, troubleshoot, and optimize AI inference performance for low-latency environments
Specifikációk
- Azonnali kezdés
- Távmunka heti 2 nap
A toborzási folyamat lépései
- 1. prescreen: 10 min phone call
- 2. technical task: 3 days
- 3. interview: in person (presentation of the technical task): 1 hour
- 4. job offer
Irodán belüli juttatások
- Ingyenes kávé
- Ingyenes parkolás
