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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.
As a Principal Team Lead - Controls Embedded Software, you will be leading and growing a team to deliver autonomous driving vehicle control systems. You will provide technical leadership, oversee the development of control components, collaborate with partnering teams, and mentor team members. The ideal candidate has experience leading teams, implementing vehicle controllers, and expertise in embedded software development.
Lead and grow an Embedded Software team to deliver embedded software for autonomous driving vehicles. Provide technical leadership, oversee development and optimization of platform components, and collaborate with partnering teams.
Lead and grow an Embedded Software team to deliver embedded software for autonomous driving vehicles. Provide technical leadership and oversee the development of critical platform control and monitoring components.
Apply robotics and software development skills for autonomous vehicles. Conduct research, design algorithms, and implement motion planning for safe and comfortable autonomous vehicle behaviors.
Support standardization of metrics used in performance evaluation for AV Capabilities and analyze large scale testing data.
Develop clean and extensible C++ software for autonomous driving systems, collaborate with deep learning experts, optimize GPU resources, and teach software development practices.
Leading a team and driving the integration of autonomy software engineering.
Seeking a Principal Software Engineer to work on motion planning architecture for autonomous vehicles, writing software that impacts driving decisions. Responsibilities include building routes, navigating traffic, braking, and acceleration. The role involves learning end-to-end robotics systems, testing code for autonomous vehicles, and advising algorithmic domain experts. Required skills in C++, Python, and knowledge of motion planning and controls concepts. Experience with software design, debugging, and background in robotics/automation is preferred. Education requirement includes a degree in Computer Science, Computer Engineering, Mechanical Engineering, Robotics, Applied Math, or related field with strong fundamentals in data structures and algorithms.
Develop algorithms and software for motion planning in autonomous vehicles. Mentor and guide junior team members.
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