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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.
Requirements
- 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
Tasks
- 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
Work Experience
- 4 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- PyTorch
- TensorFlow
- Linux
- git
- CUDA
- TensorRT
- cuDNN
- ROS
- TensorRT-LLM
- ONNX Runtime
Benefits
Diverse Work
- Challenging real‑world problems
Startup Environment
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- 4 - 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- PyTorch
- TensorFlow
- Linux
- git
- CUDA
- TensorRT
- cuDNN
- ROS
- TensorRT-LLM
- ONNX Runtime
Benefits
Diverse Work
- Challenging real‑world problems
Startup Environment
- Multidisciplinary team collaboration
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA
Industry
IT
Description
The company is developing groundbreaking solutions in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles.
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