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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
Noch nicht perfekt?
- NVIDIAVollzeitnur vor OrtSeniorMünchen
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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
Über das Unternehmen
NVIDIA
Branche
IT
Beschreibung
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
Noch nicht perfekt?
- NVIDIA
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