Autonomous Driving Perception Engineer: Scene Understanding

Tensor Auto

San Jose (CA)

Sur place

USD 75 000 - 300 000

Plein temps

14 jours+

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Résumé du poste

Tensor is an American AI company building agentic products for autonomous driving, with a flagship Robocar platform and a global presence. The team seeks software engineers to advance perception systems that fuse LiDAR, cameras, radar, and weather data into robust scene understanding modules.

The role emphasizes production-grade training and deployment of deep learning models, proficiency in Python/C++, and collaboration across engineering, product, and operations to scale performance globally.

Qualifications

Master’s degree or higher in Computer Science, Automation, Mathematics, or a related technical field.
2+ years of experience in developing perception systems for autonomous driving, with expertise in multi-sensor and multi-modal data fusion.
Hands‑on experience with training, optimizing, and deploying deep learning models in production environments.
Proficiency in Python and/or C++, with deep learning frameworks (e.g., TensorFlow, PyTorch).

Responsabilités

Develop and maintain the scene understanding module by integrating multi-sensor inputs (LiDAR, cameras, radar, weather, etc.) to extract critical perception information for autonomous driving systems.
Design, implement, test, evaluate the perception system to continuously improve perception performance.
Responsible for the integration, acceleration, and deployment of the scene understanding module to production environments, ensuring high efficiency and scalability.
Cross-functional collaboration with engineering, product, and operations teams to ensure seamless integration and optimal performance of the scene understanding module.