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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.

As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining our AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.

A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

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.