Design and develop offline perception models for autonomous vehicles, manage projects, guide team members, and ensure quality of data annotations.

Lead the design and development of end-to-end models for autonomous driving, enhancing performance through large-scale machine learning pipelines and multimodal sensor integration.

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.

Develop and maintain ML frameworks for autonomous vehicle solutions, focusing on scalability, data ops, and ML pipelines using tools like AWS and Ray.

As a Senior Engineer in machine learning, you will design, maintain, and improve autonomous vehicle frameworks, focusing on data processing, ML pipeline development, and cloud operations.

Design and implement modules for offline object detection and tracking. Oversee project management and mentor junior team members. Develop algorithms for perception using software development processes, and maintain high-quality data annotations.

Lead End-to-End model design and development for autonomous driving, integrating multi-modal sensor inputs to optimize driving decisions through advanced machine learning techniques.

Design and optimize ML models for localization in autonomous trucks using sensor fusion and map-based techniques. Collaborate with teams to enhance model robustness and integrate into the autonomy stack.

As a Senior Software Engineer, you'll build cloud-based infrastructure for metrics evaluation, ensuring software updates meet safety standards using Python and AWS.

Oversee logistics at an autonomous trucking facility, collaborating with various teams, managing compliance, maintaining records, and optimizing operations.

Develop and optimize unimodal and multimodal perception models for 3D/BEV terrain and surface inference, build large-scale data pipelines and annotation tools, deploy and optimize models on edge compute, collaborate with robotics/software/hardware teams, mentor juniors, and translate research into production-grade autonomous vehicle perception systems.

Develop decision support systems, conduct statistical experiments, analyze data to uncover insights using advanced modeling techniques, and communicate findings to stakeholders.

The Software Engineer will develop and support cloud-based data ingestion systems, create data processing pipelines, and collaborate on data solutions for analytics and ML training.

Lead the design and deployment of E2E ML architectures for autonomous driving, focusing on datasets and system intelligence improvements. Mentor teams and establish evaluation frameworks.

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

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

Design, implement, and maintain cloud-based simulation services for virtual driver-stack testing. Contribute to full software development lifecycle activities using Python and C++ in a Linux environment, focusing on cloud infrastructure and automation processes.

The Staff Data Scientist will develop machine learning models, analyze data trends, mentor junior staff, and collaborate across teams to enhance autonomous vehicle technology.

As a Senior Linux Engineer, you'll manage and develop embedded Linux platforms for autonomous vehicles focusing on software delivery, system integration, and collaboration with cross-functional teams.