In our group, we research, develop, and deploy state-of-the-art lidar perception and deep learning technologies to achieve world-class performance, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems. We are looking for a passionate engineer with strong expertise in deep learning, computer vision, and large-scale data-driven algorithm development.
What will your job look like:
Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques
Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding
Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency
Analyze and validate algorithms on large-scale real-world datasets collected by our vehicles worldwide
Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models
Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms
Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.
What will your job look like:
Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques
Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding
Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency
Analyze and validate algorithms on large-scale real-world datasets collected by our vehicles worldwide
Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models
Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms
Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.
Requirements:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field
3+ years of hands-on experience developing deep learning and computer vision algorithms
Strong practical experience with deep learning frameworks such as PyTorch or TensorFlow
Experience developing, training, evaluating, and optimizing neural networks for computer vision or 3D perception applications
Strong understanding of machine learning, deep learning fundamentals, optimization, and statistical analysis
Solid programming skills in Python; experience with C++ is an advantage
Strong mathematical and problem-solving skills
Ability to quickly learn new technologies and transform research ideas into production-quality solutions
Independence, creativity, and a proactive approach
Experience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage.
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field
3+ years of hands-on experience developing deep learning and computer vision algorithms
Strong practical experience with deep learning frameworks such as PyTorch or TensorFlow
Experience developing, training, evaluating, and optimizing neural networks for computer vision or 3D perception applications
Strong understanding of machine learning, deep learning fundamentals, optimization, and statistical analysis
Solid programming skills in Python; experience with C++ is an advantage
Strong mathematical and problem-solving skills
Ability to quickly learn new technologies and transform research ideas into production-quality solutions
Independence, creativity, and a proactive approach
Experience with lidar, 3D perception, autonomous driving, or the automotive industry is a strong advantage.
This position is open to all candidates.
