Senior Software Engineer

Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world. As we continue to build and deploy our technology, we put our people first. Autonomy Senior Software Engineer – Calibration/Sensors/SLAM Job Summary: Join our innovative Calibration team as a Senior Engineer and play a key role in bringing self-driving vehicles to life. You'll work with world-class engineers and leading experts, focusing on calibrating all autonomous vehicle sensors—Lidar, cameras, IMUs, and radars—to build the foundation of our autonomy stack. What you'll be doing: Develop and implement advanced calibration applications (both indoors and outdoors) for autonomous vehicle systems, pushing the boundaries of performance and safety Collaborate with different teams to integrate calibration solutions into our vehicles, ensuring top-tier quality and reliability. Utilize extensive internal datasets to validate and demonstrate your research and development effectively. What we are looking for: Bachelor's degree in Computer Science, Robotics, or a related field. A Master's or Ph.D. is preferred 3+ years of specialized experience in calibration, localization, or SLAM for autonomous vehicles, augmented reality headsets, or robotic systems, with a strong record of designing and executing advanced calibration strategies. 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems. Past experience owning and leading technical development from problem conceptualization through research, implementation, and successful production deployment. Past experience working with multiple sensors (LiDARs, Radars, IMU, Cameras). Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology. Experience mentoring and collaborating with others Bonus Points: PhD in machine learning, computer vision, or robotics vision Experience working on autonomous vehicles or related fields Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter , LinkedIn ,Instagram and YouTube . Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility. Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine-learning, and artificial intelligence. #J-18808-Ljbffr