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We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. 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/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
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.
Learn and develop new algorithms which can address new problems as they arise

Required Algo Software Engineer
About the team:
You'll join our REM (Road Experience Management) department. REM is an end-to-end mapping and localization engine that supports full autonomy capabilities and services.
Building validation processes and methods for a technology of this scale is challenging, meaningful and rewarding work. The system is complex and based on machine learning and image processing, so analysis and validation take deep thinking and strong technical and analytical skills. You'll develop validation infrastructure, tools and methods using cutting-edge technology and cloud-based applications. We use AI wherever it helps: to automate routine work, improve code quality and make our development process more efficient.

Required AI Implementer
About the team:
The IT AI team is responsible for rolling out enterprise AI tools for development and productivity across; including AI coding assistants, enterprise copilots and agents. The team builds and runs AI solutions that turn business needs into practical, secure and reliable tools.
We're looking for a hands-on AI Implementer to take AI use cases from idea to production. You'll work with business and IT stakeholders to find automation opportunities. You'll then build agents, MCP integrations and workflows, and make sure they run securely and reliably and are actually used.
What will your job look like:
Lead the company-wide rollout of development and productivity tools (e.g., AI coding assistants, enterprise copilots, chat and agent platforms): evaluation, deployment, licensing, access provisioning, onboarding and adoption across all departments.
Design, build and deploy AI agents, assistants and automations for IT and the different business units.
Develop and maintain MCP server integrations (e.g., Jira, Confluence, SharePoint, Jenkins, Microsoft 365) and onboard new tools to the MCP gateway.
Extend the corporate chatbot with new self-service automations and knowledge sources.
Connect AI solutions to enterprise systems (ITSM/Jira, ServiceNow-style workflows, SaaS apps, AD/Entra ID, REST APIs).
Track and report AI usage, cost and KPIs, such as ticket deflection and automation runs.
Apply security and governance: authentication (OAuth/tokens), least-privilege access, data protection, and audit/SOX requirements.
Run enablement work: documentation, user guides, live sessions/workshops, and Tier-3 support for AI tools.
Evaluate new AI technologies and vendors, and build PoCs.

Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.