PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
As a Senior Software Engineer, Planning for self-driving trucks, you will work on developing cutting-edge software that takes data from a multitude of sensors such as cameras, radars and lidars, and converts them into actionable information for downstream components like prediction and planning.
Responsibilities:
Design, develop and deploy motion planning software to support PlusAI’s planning, using the latest techniques in lateral and longitudinal motion planning. Utilize latest C++ numerical optimization frameworks (e.g. qpOasys) and industry standard software tools (git, ROS, etc.) to integrate new lateral and longitudinal motion planning algorithms into our production system.Perform system level diagnostics and tuning using in-house visualization tools and open-source visualization platforms (e.g. webviz)Use good oral and written communication skills to collaborate with other engineers to produce system designs that are approved at a high level before software implementation begins
Required Qualifications:
MS or PhD in Computer/Software Engineering, Robotics, Robotic Systems Development, or related field.Experience developing production code in C++, with python experience as an added advantage.Applied robotics experience in any of: Robotics/ Motion Planning/Computer Vision/Machine LearningStrong oral and written communication skills.
Preferred Qualifications:
PhD + 1-2 years or MS + 3-4 years of experience
