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As a Senior SOTIF Engineer, you'll evaluate and enhance safety in autonomous trucking by leading SOTIF evaluations, guiding engineers, conducting risk assessments, and collaborating across teams to ensure safety standards are met.

This role involves writing software for sensor integration, debugging system issues, optimizing performance in embedded systems, and collaborating with cross-functional teams.

Manage and develop a team of Technical Program Managers for safety-critical and compute platform initiatives, ensuring alignment and execution across cross-functional teams.

The System Test Engineer will develop functional safety test cases for autonomous vehicles, ensuring compliance with safety standards and conducting tests in various environments.

The Functional Safety Systems Engineer will analyze, assess, and establish a functional safety case for autonomous trucks, collaborating across teams on software and hardware development.

You will implement Neural Rendering and generative models for autonomous driving, manage projects, and mentor team members in a cloud-based setting.

Concevoir et implémenter des modèles de rendu neuronal et génératifs pour la simulation de capteurs (caméras, lidars, radars), intégrer et faire évoluer un cadre cloud d'entraînement et de validation, piloter projets du prototype à la production, automatiser pipelines MLOps, et encadrer/mentorer les ingénieurs de l'équipe.

The ML Engineer will implement advancements in Neural Rendering and generative models for autonomous driving, develop software in cloud environments, and mentor team members.

Develop and deploy machine learning models for decision-making in autonomous trucks, focusing on learned behavior systems and model performance improvements.

As a Software Engineer I on the Metrics for Release team, you will develop cloud-based systems for evaluating autonomous vehicle metrics, collaborating with engineers on safety validation and automation workflows.