The Motion Planning Research team is specialized in fusion of Machine Learning and Classical Methods, researches new deep learning approaches, builds deep neural networks, algorithms, and software to impact across navigation, behavior, route planning, as well as trajectory optimization, numerical optimization, and model predictive control. The team creates proof of concepts and once an idea is effective, works to put then into production.
Motional's Machine Learning team has produced ground breaking advancements in the autonomous vehicle industry including nuScenes (https://www.nuscenes.org), PointPillars (https://arxiv.org/abs/1812.05784), and PointPainting (http://arxiv.org/abs/1911.10150)
The Motional Pittsburgh office is located in the new Hazelwood Green development at 4734 Second Avenue, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.
What You'll Do:
Contribute to cutting edge motion planning system
Use your top-notch software development expertise to inspire others to develop better software practices and principles.
Develop core deep learning codebase for efficient training and testing pipelines
Work closely with production Motion Planning and Controls team to identify places where data-driven approach is beneficial
Refine and improve the data-driven model according to the performance of AV in real world complex environment
Deploy solutions directly to an autonomous vehicle and analyze their impact
Conduct experiments, write reports, and file patents
Generate new ideas, provide a vision for the team and our system.
Analyze and compare different combinations of different algorithms.
What You'll Bring:
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field with 3+ years of relevant experience
3+ years of software development experience.
C++ (i.e. C++11, C++14, C++17) development experience in a Unix/Linux environment.
Python and Python bindings development experience
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.
Experience designing, training, analyzing, and deploying neural networks for at least one of the following applications: Motion Planning, Motion prediction, Behavioral prediction.
Experience with PyTorch or other deep learning frameworks
You believe that you can achieve more on a team -- that the whole is greater than the sum of its parts
Passion about self-driving technology and its potential impact on the world
Leadership and mentoring experience
Motional is making driverless vehicles a safe, reliable, and accessible reality.
Our team is commercializing a world-class driverless system. The Motional team is behind some of the industry’s largest leaps forward in the last decade, 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 most-established public robotaxi fleet. Strategically formed by Hyundai Motor Groupand Aptiv, Motional is fundamentally changing how people move through their lives.
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.