Dein persönlicher KI-Karriere-Agent
Senior Teleoperation-Connectivity Software Engineer(m/w/x)
Building teleoperation HMIs and low-latency video pipelines for autonomous logistics. Strong C++ skills in real-time systems and networking required. Rapid research-to-product integration, short development cycles.
Anforderungen
- Strong C++ skills in performance-critical and real-time systems
- Hands-on experience with networking concepts and low-latency data transport
- Experience building graphical user interfaces or visualization systems in C++
- Solid understanding of Linux systems, threading, timing, and synchronization
- Quality-driven mindset with strong ownership for safety-relevant software
Aufgaben
- Build and evolve teleoperation HMIs using modern GUI frameworks
- Design and implement low-latency, high-throughput video pipelines
- Manage dynamic multi-stream video with precise time synchronization
- Optimize glass-to-glass latency with GPU-accelerated video encoding
- Tune end-to-end performance for optimal latency
- Develop robust connectivity layers between teleoperator stations and vehicles
- Implement V2V communication as needed
- Adapt teleoperation software to diverse hardware platforms
- Ensure consistent performance, usability, and reliability
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Linux
Benefits
Startup-Atmosphäre
- Rapid integration of research into products
- Short development cycles
- Dynamic, fast-paced, collaborative startup environment
- Efficient collaboration
Lockere Unternehmenskultur
- Flat hierarchies
Weiterbildungsangebote
- Continuous learning opportunities
Flexibles Arbeiten
- Flexible work schedules
Mehr Urlaubstage
- 30 days of paid vacation
Sonstige Zulagen
- Monthly lunch budget
Gesundheits- & Fitnessangebote
- Company-subsidized eGym Wellpass membership
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Senior Teleoperation-Connectivity Software Engineer(m/w/x)
Building teleoperation HMIs and low-latency video pipelines for autonomous logistics. Strong C++ skills in real-time systems and networking required. Rapid research-to-product integration, short development cycles.
Anforderungen
- Strong C++ skills in performance-critical and real-time systems
- Hands-on experience with networking concepts and low-latency data transport
- Experience building graphical user interfaces or visualization systems in C++
- Solid understanding of Linux systems, threading, timing, and synchronization
- Quality-driven mindset with strong ownership for safety-relevant software
Aufgaben
- Build and evolve teleoperation HMIs using modern GUI frameworks
- Design and implement low-latency, high-throughput video pipelines
- Manage dynamic multi-stream video with precise time synchronization
- Optimize glass-to-glass latency with GPU-accelerated video encoding
- Tune end-to-end performance for optimal latency
- Develop robust connectivity layers between teleoperator stations and vehicles
- Implement V2V communication as needed
- Adapt teleoperation software to diverse hardware platforms
- Ensure consistent performance, usability, and reliability
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Linux
Benefits
Startup-Atmosphäre
- Rapid integration of research into products
- Short development cycles
- Dynamic, fast-paced, collaborative startup environment
- Efficient collaboration
Lockere Unternehmenskultur
- Flat hierarchies
Weiterbildungsangebote
- Continuous learning opportunities
Flexibles Arbeiten
- Flexible work schedules
Mehr Urlaubstage
- 30 days of paid vacation
Sonstige Zulagen
- Monthly lunch budget
Gesundheits- & Fitnessangebote
- Company-subsidized eGym Wellpass membership
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Fernride GmbH
Branche
Logistics
Beschreibung
Fernride builds autonomous logistics solutions using advanced automation and teleoperation, enabling safer, more efficient, and sustainable driverless operations.
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