Jobs at Avride

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

Lead and optimize U.S. HR Operations including HR systems, payroll, benefits, compliance, employee records, performance management, workforce planning, and HR analytics to support scalable growth and a positive employee experience.

As a Simulation Backend Engineer, you'll design and optimize backend systems for distributed simulation workloads, ensuring high efficiency and reliability.

The Embedded Tools Engineer will design and maintain CI/CD pipelines, develop testing tools for embedded systems, and ensure software quality for autonomous vehicles and robots.

Lead analytics for autonomous driving evaluation: define metrics, integrate simulation and on-road data, design and run experiments with rigorous statistics, build automated analysis pipelines, and hire and mentor analysts while partnering with engineering teams.

Develop and maintain embedded firmware for autonomous vehicles and delivery robots. Design software-hardware architecture, implement C++/Python code, create testing and diagnostic tools, integrate with hardware and other teams, and optimize code for performance and reliability.

The Accountant will manage accounting operations, including journal entries and accounts payable, and support month-end close processes.

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.

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.

The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.

Develop and maintain the software framework for autonomous vehicle autopilot systems, focusing on performance, safety, and reliability, while implementing automated testing processes.

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

Lead development of Avride's control system by architecting and shipping Model Predictive Control (MPC) solutions in modern C++, identifying vehicle dynamics parameters from real-world data, profiling for real-time performance, and providing technical leadership, code review, and mentorship to a small controls team while aligning with Planning and Hardware.

As a Senior Frontend Engineer, you will develop low-latency interfaces for autnomous vehicle control, optimizing for performance and integrating real-time data.

Develop motion planning algorithms for autonomous robots, ensuring safety, smoothness, and reliability in navigation. Collaborate with various teams for improvement and evaluation.

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.

The role involves designing and implementing Avride's core framework for self-driving technology, focusing on performance, reliability, and collaboration with various teams for system improvements.

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.

The Site Infrastructure Engineer will build and maintain server and network infrastructure for autonomous vehicle operations, ensuring high performance and reliability.