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Design and implement algorithms for autonomous driving, focusing on motion planning using Machine Learning and optimization techniques. Oversee the full development cycle, mentor junior engineers, and contribute to deploying solutions in vehicles with a focus on performance enhancement in complex environments.
As a Senior Machine Learning Engineer, you will work on enhancing autonomous vehicle capabilities by defining and driving project impacts through technology solutions. Responsibilities include problem formulation, solution architecture, and production deployment, while collaborating with team members and mentoring junior engineers.
As a Principal Machine Learning Engineer, you will lead R&D for autonomous vehicles, influencing technology solutions and mentoring others. Responsibilities include defining team direction, solving complex tech problems, prototyping solutions, and deploying models, with a focus on machine learning and deep learning applications.
The Principal Engineer will lead a team focused on constructing and optimizing large-scale data processing pipelines for autonomous vehicle logs. Responsibilities include managing team timelines, designing scalable data solutions, conducting code reviews, and mentoring engineers in a hands-on capacity.
As a Principal Engineer for the ML training platform, you will lead a team to enhance model training and evaluation processes, optimize training performance, and ensure successful execution of engineering objectives in the autonomous driving sector. You will work closely with multiple teams and be accountable for the platform's development and risk management.
The Principal Compute Firmware Engineer will lead the design and implementation of diagnostic capabilities for autonomous vehicle components. Responsibilities include collaboration across teams, continuous improvement of quality processes, integration testing, and hands-on problem-solving in dynamic environments.
As a Senior Software Engineer on the Motion Planning Architecture team, you will develop robust software for autonomous vehicles focusing on motion planning and controls. Your role includes creating real-time decision-making algorithms, testing code, and practicing clean code development in collaboration with a large team. You'll apply your expertise in C++, with opportunities to work with Python and robotics systems.
As a Principal Software Engineer, you will develop robust software for motion planning and controls in autonomous vehicles. Responsibilities include designing algorithms, testing code in real-time environments, and collaborating on a shared codebase with a focus on clean and scalable software solutions.
As a Senior Software Engineer in Motion Planning Architecture, you will develop robust software that influences autonomous vehicle decision-making, covering routing and navigation while prioritizing safety and comfort. You will engage in testing and implementing real-time algorithms within a collaborative environment, utilizing clean coding techniques and modern software practices.
You will contribute to the motion planning and controls of autonomous vehicles, developing software that enables real-time decision-making for driving maneuvers. Responsibilities include writing production-ready code, implementing algorithms, and testing in real-time environments while ensuring clean coding practices.
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