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We are looking for an Algorithm Developer who will be challenged to solve real-world problems using Computer Vision and Signal Processing techniques. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python and C++, and be responsible for maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms that can address new problems and challenges as they arise.
The work in our algorithms department is dynamic and involves developing algorithms from the early stages of research through to production, while collaborating with other teams throughout the organization.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and Python.
You will need to both maintain the product and develop new features.
You will need to learn and develop new algorithms that can address new problems as they arise.

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.