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Senior Software Engineer – AI and Autonomous Driving(m/w/x)
Developing C++/Python software for deep learning models, processing multi-sensor data (cameras, radar, lidar), optimizing for real-time GPU inference. Experience training deep learning models and strong Linux development skills required. Focus on real-time GPU inference and multi-sensor data processing.
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
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
Berufserfahrung
- 4 - 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- PyTorch
- TensorFlow
- Linux
- git
- CUDA
- TensorRT
- cuDNN
- ROS
- TensorRT-LLM
- ONNX Runtime
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)
Developing C++/Python software for deep learning models, processing multi-sensor data (cameras, radar, lidar), optimizing for real-time GPU inference. Experience training deep learning models and strong Linux development skills required. Focus on real-time GPU inference and multi-sensor data processing.
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
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
Berufserfahrung
- 4 - 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- PyTorch
- TensorFlow
- Linux
- git
- CUDA
- TensorRT
- cuDNN
- ROS
- TensorRT-LLM
- ONNX Runtime
Benefits
Abwechslungsreiche Aufgaben
- Challenging real‑world problems
Startup-Atmosphäre
- Multidisciplinary team collaboration
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
NVIDIA
Branche
IT
Beschreibung
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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