NVIDIA
Senior Software Engineer – AI and Autonomous Driving(m/w/x)
Vollzeitnur vor OrtSenior
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
NVNVIDIA
Senior Software Engineer – ADAS(m/w/x)
München
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Fusing AI models with OEM applications for production-level autonomous vehicle functions. Master’s or PhD in Computer Science or Machine Learning required. Development on Linux with high-performance C++ and Python.
Anforderungen
- 4-8 years professional software engineering experience (ideally ADAS, automotive, robotics, real-time systems)
- Master's or PhD degree in Computer Science or Machine Learning
- Strong modern C++ (C++14/17+) skills: templates, RAII, smart pointers, STL, large codebase building
- Solid Python skills for tooling, training scripts, data pipelines, and C++ components
- Hands-on deep learning model experience (PyTorch/TensorFlow): experiment design, hyperparameter tuning, large datasets, model debugging
- Linux development experience: CMake, gdb, sanitizers, profiling, git-based CI/CD workflows
- Familiarity with GPU programming and optimization (CUDA, TensorRT, cuDNN)
- Familiarity with Computer vision/perception (object detection, segmentation, multi-object tracking)
- Familiarity with Robotics or autonomous systems (ROS/ROS2, ADAS features, simulation environments)
- Direct experience implementing ADAS functions in C++ (lane keeping, adaptive cruise control, automatic emergency braking, or traffic-sign/traffic-light handling)
- Experience with camera calibration, sensor fusion, or multi-camera perception systems
- Knowledge of model optimization/deployment: quantization (INT8, FP8, 4-bit), TensorRT-LLM, ONNX Runtime, or similar
- Background in training infrastructure: distributed training, experiment tracking, dataset versioning, hyperparameter optimization
- Understanding of software quality practices for safety-critical systems (code review, unit testing, static analysis); automotive standards knowledge (plus); open-source contributions or published work in AI, robotics, or GPU computing
Aufgaben
- Develop C++ ADAS functions (e.g., lane keeping, ACC, AEB).
- Maintain safety-critical C++ ADAS functions.
- Integrate deep learning models into C++ pipelines.
- Deploy Python models for real-time GPU inference.
- Work with multi-sensor data (cameras, radar, lidar).
- Implement C++ logic for sensor fusion, tracking, and decision-making.
- Build and extend modular libraries and components.
- Develop interfaces for models, sensor drivers, and vehicle control.
- Optimize C++ and CUDA code for performance.
- Develop tooling for ADAS data quality.
- Create tooling for automated evaluation.
- Build tooling for regression tests.
- Collaborate with ML researchers, engineers, and partners.
- Convert prototype algorithms into production C++ implementations.
Berufserfahrung
- 4 - 8 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ADAS
- C++
- Python
- PyTorch
- TensorFlow
- Linux
- CMake
- gdb
- git
- CUDA
- TensorRT
- cuDNN
- ROS
- ROS2
- TensorRT-LLM
- ONNX Runtime
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens NVIDIA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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NVNVIDIA
Senior Software Engineer – ADAS(m/w/x)
München
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Fusing AI models with OEM applications for production-level autonomous vehicle functions. Master’s or PhD in Computer Science or Machine Learning required. Development on Linux with high-performance C++ and Python.
Anforderungen
- 4-8 years professional software engineering experience (ideally ADAS, automotive, robotics, real-time systems)
- Master's or PhD degree in Computer Science or Machine Learning
- Strong modern C++ (C++14/17+) skills: templates, RAII, smart pointers, STL, large codebase building
- Solid Python skills for tooling, training scripts, data pipelines, and C++ components
- Hands-on deep learning model experience (PyTorch/TensorFlow): experiment design, hyperparameter tuning, large datasets, model debugging
- Linux development experience: CMake, gdb, sanitizers, profiling, git-based CI/CD workflows
- Familiarity with GPU programming and optimization (CUDA, TensorRT, cuDNN)
- Familiarity with Computer vision/perception (object detection, segmentation, multi-object tracking)
- Familiarity with Robotics or autonomous systems (ROS/ROS2, ADAS features, simulation environments)
- Direct experience implementing ADAS functions in C++ (lane keeping, adaptive cruise control, automatic emergency braking, or traffic-sign/traffic-light handling)
- Experience with camera calibration, sensor fusion, or multi-camera perception systems
- Knowledge of model optimization/deployment: quantization (INT8, FP8, 4-bit), TensorRT-LLM, ONNX Runtime, or similar
- Background in training infrastructure: distributed training, experiment tracking, dataset versioning, hyperparameter optimization
- Understanding of software quality practices for safety-critical systems (code review, unit testing, static analysis); automotive standards knowledge (plus); open-source contributions or published work in AI, robotics, or GPU computing
Aufgaben
- Develop C++ ADAS functions (e.g., lane keeping, ACC, AEB).
- Maintain safety-critical C++ ADAS functions.
- Integrate deep learning models into C++ pipelines.
- Deploy Python models for real-time GPU inference.
- Work with multi-sensor data (cameras, radar, lidar).
- Implement C++ logic for sensor fusion, tracking, and decision-making.
- Build and extend modular libraries and components.
- Develop interfaces for models, sensor drivers, and vehicle control.
- Optimize C++ and CUDA code for performance.
- Develop tooling for ADAS data quality.
- Create tooling for automated evaluation.
- Build tooling for regression tests.
- Collaborate with ML researchers, engineers, and partners.
- Convert prototype algorithms into production C++ implementations.
Berufserfahrung
- 4 - 8 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ADAS
- C++
- Python
- PyTorch
- TensorFlow
- Linux
- CMake
- gdb
- git
- CUDA
- TensorRT
- cuDNN
- ROS
- ROS2
- TensorRT-LLM
- ONNX Runtime
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens NVIDIA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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.
Noch nicht perfekt?
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