New Grads 2026 - General Software Engineer (CN)

Build real-time, in-vehicle systems that ensure the AV operates safely and efficiently in its environment.

Develop a high-performance, highly reliable data transport framework, and enhance the logging infrastructure to support robust data collection.

Develop a real-time communication service framework between embedded devices and the host computer, enhancing the real-time troubleshooting capabilities of the in-vehicle system.

Develop cloud-based and backend systems that support the AV fleet, as well as creating intelligent tools for our developers.

Design and develop new features to continuously optimize computational performance, and create tools to assist other teams by proactively informing developers of potential performance issues.

Build services and infrastructure bridging machine learning and distributed systems, while evaluating database-related changes submitted by other engineers or community contributors.

Work closely with other engineering teams, and business groups to develop comprehensive end-to-end solutions.

Optimize for efficient model deployment, enhance the machine learning workflow, build and support large-scale model evaluation systems.

Develop high-performance GPU/CPU kernels by utilizing low-level hardware features and knowledge of performance characteristics.

Build model conversion, evaluation, and management system.

Develop and sustain scalable and high-performance infrastructure for training, optimizing, and deploying machine learning models.

Work with multiple algorithm teams and optimize efficient algorithms for self-driving vehicles