As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

Join Avride as a Data Analytics Engineer to build ETL pipelines, manage datasets, write SQL queries, and create dashboards for data insights.

Design and develop system-level software for Linux in autonomous vehicles. Integrate hardware and software, ensuring reliability and efficiency with management tools.

The role involves developing and maintaining embedded Linux systems for autonomous vehicles, including device drivers and low-level userspace software.

The role involves designing and developing software for capturing and transmitting vehicle logs, optimizing data storage and processing in the cloud, and supporting the data platform architecture.

Develop and maintain firmware for autonomous vehicles and delivery robots, collaborating on software-hardware architecture, coding, and testing tools.

Lead the development and management of system safety for autonomous vehicles, ensuring compliance with safety standards and fostering a safety culture.

Join Avride's robot simulation team to develop a hybrid simulation framework, integrating real-world data and synthetic environments for autonomous driving tests.

The ML Engineer will develop motion planning models using ML techniques, simulate interactions for outdoor delivery robots, and collaborate across teams for integration.

As a Backend Engineer, you'll maintain backend systems for autonomous delivery, develop Go services, and collaborate on system integrations.

Lead research and development of deep learning models for autonomous perception systems, including design, training, and deployment of neural networks for complex 3D computer vision tasks.

Design, build, and optimize backend systems for distributed simulation workloads, focusing on data pipelines and cloud-based storage solutions.

As a C++ Software Engineer, you will develop and optimize control systems for autonomous vehicles, focusing on trajectory tracking and real-time performance using modern C++ and advanced algorithms.

Design and maintain scalable CI/CD infrastructure for multi-platform software, optimize build performance, manage dependencies, and support development teams.

The role involves optimizing system performance for autonomous vehicle technology, developing performance testing infrastructure, and collaborating with development teams.

The role involves supporting and developing large Kubernetes clusters, enhancing the stability of Linux and Kubernetes, and creating installations in both cloud and on-premises settings.

Develops motion planning algorithms, collaborates with engineering teams, and optimizes performance for autonomous vehicle decision-making.

As a Senior C++ Engineer, you'll design and implement simulation infrastructure, ensure accuracy and efficiency of runs, and collaborate with teams for integration and performance analysis.

As a Senior Financial Controller, you'll oversee financial compliance and reporting across multiple entities, ensuring adherence to US GAAP and regulatory standards, while leading audits and maintaining internal controls.

The QA Engineer will design and execute testing plans for autonomous driving software, analyze test scenarios, and document outcomes. Collaboration with cross-functional teams is crucial for improving test processes and safety metrics.