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The Senior Sensor Simulation Engineer will lead the development of sensor simulation for current and next-generation systems. They will also develop methods for calibration, derive performance metrics, enable sensor simulation for deep learning, and develop efficient simulation codebase. Additionally, they will implement visualization of simulation results and write reports and file patents.

The Principal Compute Firmware Engineer will be responsible for designing and developing software for high performance compute elements, components, and sensors used on the Motional Autonomous Vehicle platform. They will work across engineering teams to gather requirements and implement firmware and diagnostics. The engineer will also be involved in vehicle bringup, testing activities, and continuous improvement efforts. They should have strong leadership skills and experience with SW/HW integration and software development on embedded systems. Advanced knowledge of software engineering principles and communication protocols is required.

Develop robust software for motion planning and controls of autonomous vehicles. Collaborate with a team to optimize safety and comfort while navigating traffic and making real-time driving decisions. Opportunity to learn and apply motion planning and controls concepts in production-level software development. Strong C++ software design, algorithm implementation, and debugging skills required. Python knowledge is a plus. Background in robotics and automation is optional. Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, Mechanical Engineering, Robotics, Applied Math, or related field required.

Join our robotics team and contribute to motion planning and controls for autonomous vehicles. Develop production-level software, test code in real-time environments, and apply cutting-edge robotics algorithms. Strong C++ skills and familiarity with software development practices required.

The Senior Software Engineer - Motion Planning Architecture C++ will contribute to the development of motion planning and controls software for autonomous vehicles.

The Principal Software Engineer - Motion Planning Architecture C++ will be responsible for developing robust software for motion planning and controls in autonomous vehicles. They will contribute to building routes, navigating traffic, braking, acceleration, turning, lane-change, and optimizing safety and comfort. The role involves working with a shared codebase and implementing cutting-edge robotics algorithms in real-time/soft real-time environments. The ideal candidate will have strong C++ software design and debugging skills, as well as familiarity with Python and a background in Robotics or Automation. A Bachelors, Masters, or PhD degree in Computer Science, Computer Engineering, Mechanical Engineering, Robotics, Applied Math, or a related field is required.

The Principal Technical Program Manager will be responsible for supporting autonomous vehicle integration and bring-up activities. They will work closely with a cross-functional engineering team to build, integrate, and deploy cutting-edge autonomous vehicle technology. Responsibilities include driving development and verification of vehicle subsystems, leading vehicle readiness activities, and managing program execution.

The Systems Engineer will be responsible for specifying and designing Motional's self-driving vehicle physical architecture. They will work with cross-functional teams to ensure successful integration of the system and will define test cases for development testing.

Join our dynamic Dev Tooling team and contribute to the development of tools for testing, debugging, and visualizing vehicle performance.

Join our dynamic Dev Tooling team and contribute to the development of innovative software framework for autonomous vehicles. Work with robotics experts and gain hands-on experience in cutting-edge areas.

Join our Dev Tooling team and contribute to the development of software tools for testing, debugging, and visualizing vehicle performance. Gain hands-on experience in cutting-edge areas of robotics. We are looking for motivated candidates with strong C++ skills and a passion for crafting elegant and robust code.

Join us and help us solve some of the most challenging technical problems facing the autonomous driving industry. You will help redefine safe transportation by directly contributing to Motional’s driverless future.

The Principal Automated Driving Safety Engineer at Motional will lead the application of global safety standards and requirements for autonomous operations, ensuring cross-functional teams follow processes to build an ADS Safety Case. Responsibilities include system analysis, safety requirement generation, safety documentation, and certification processes. The role requires a broad system safety view and technical leadership in developing safety concepts and methodologies for autonomous innovation.

As a Principal Motion Planning Engineer, you will be responsible for developing motion control and trajectory optimization algorithms for autonomous vehicles. This includes integrating and evaluating different algorithms, designing robust and scalable software, and collaborating with other teams.

Develop clean and extensible software for the perception and prediction modules in autonomous driving systems. Collaborate with deep learning experts to optimize GPU utilization and port algorithms to GPU.

Work on motion planning and trajectory optimization for autonomous vehicles. Develop algorithms, collaborate with other teams, and create scalable software.

You will be responsible for developing motion control and trajectory optimization algorithms for autonomous vehicles.

Working with software and system teams to lead the AUTOSAR development workflow including system description, development of components, integration of components to the system, deployment on target hardware, debugging using tools for embedded systems.

Lead the design and development of mapping and localization software for autonomous driving. Solve complex challenges, develop scalable software, provide technical leadership, and collaborate with experts across autonomy.

Seeking a Principal Technical Program Manager to support the development of autonomous driving technology for driverless robotaxis. Responsibilities include defining program-level requirements, managing program execution, identifying risks and mitigations, and providing leadership to cross-functional partners.