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Senior Software Engineer – AI and Autonomous Driving(m/w/x)
Beschreibung
You will bridge the gap between AI research and reality by deploying high-performance models into autonomous vehicles, ensuring cutting-edge technology safely hits the road.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •4–8 years software engineering experience
- •Proficiency in C++ and Python
- •Experience training deep learning models
- •Strong Linux development skills
- •Familiarity with GPU, CV, or Robotics
- •Experience with camera calibration or perception
- •Knowledge of model optimization and deployment
- •Background in training infrastructure
- •Understanding of safety-critical software practices
- •Open-source contributions or published work
Ausbildung
Berufserfahrung
4 - 8 Jahre
Aufgaben
- •Develop C++ and Python software for autonomous driving systems
- •Train and iterate on multimodal deep learning models
- •Optimize models for real-time inference on GPUs
- •Process multi-sensor data from cameras, radar, and lidar
- •Build training pipelines and automated evaluation infrastructure
- •Resolve performance bottlenecks in safety-critical codebases
- •Collaborate with researchers to productionize research prototypes
- •Integrate ADAS software stacks with OEM applications
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Abwechslungsreiche Aufgaben
- •Challenging real‑world problems
Startup-Atmosphäre
- •Multidisciplinary team collaboration
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Senior Software Engineer – AI and Autonomous Driving(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You will bridge the gap between AI research and reality by deploying high-performance models into autonomous vehicles, ensuring cutting-edge technology safely hits the road.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •4–8 years software engineering experience
- •Proficiency in C++ and Python
- •Experience training deep learning models
- •Strong Linux development skills
- •Familiarity with GPU, CV, or Robotics
- •Experience with camera calibration or perception
- •Knowledge of model optimization and deployment
- •Background in training infrastructure
- •Understanding of safety-critical software practices
- •Open-source contributions or published work
Ausbildung
Berufserfahrung
4 - 8 Jahre
Aufgaben
- •Develop C++ and Python software for autonomous driving systems
- •Train and iterate on multimodal deep learning models
- •Optimize models for real-time inference on GPUs
- •Process multi-sensor data from cameras, radar, and lidar
- •Build training pipelines and automated evaluation infrastructure
- •Resolve performance bottlenecks in safety-critical codebases
- •Collaborate with researchers to productionize research prototypes
- •Integrate ADAS software stacks with OEM applications
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Abwechslungsreiche Aufgaben
- •Challenging real‑world problems
Startup-Atmosphäre
- •Multidisciplinary team collaboration
Über das Unternehmen
NVIDIA
Branche
IT
Beschreibung
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
- Intrinsic
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