The Prediction team at Motional uses the latest transformer and graph attention architectures to predict the behaviors of surrounding road users and generate possible trajectories for our self-driving vehicle.

At Motional, you will have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impacts. We are looking for engineers who are passionate about robotics and autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What Youll Be Doing:

You will drive R&D initiatives to make our autonomous vehicles operate at high levels of safety and comfort. On a daily basis, you will:

• Design and iterate on the latest deep learning architectures for scene understanding and behavioral prediction
• Perform deep analysis of our extensive self-driving datasets to ensure critical data is well represented in our model training.
• Work with adjacent perception, planning, and mapping teams to ensure our behavioral models integrate seamlessly into the entire AV stack.
• Collaborate with our inference acceleration engineers to ensure model deployment remains fast and scalable to future vehicle platforms. 
• Work with our evaluation and systems engineering teams to test model releases on critical driving behaviors, both in simulation and on the roa.d
• Help create and reinforce a culture of inclusion, innovation, and excellence.

Senior Engineer:

• Develop a variety of deep learning algorithms for scene encoding and behavior prediction, with code contributions in both Python and C++
• Lead and maintain efficient training and testing pipelines to optimize end-to-end deployment time.
• Deploy solutions directly to our autonomous vehicles and work with partner teams to analyze their impact. 
• Drive goal achievement for the prediction team consistently
  
   

Principal Engineer:

• Define technical roadmap for cutting-edge prediction and scene encoding systems, primarily using machine learning.
• Lead cross-team efforts and serve as a lead engineer directly responsible for landing large, multi-quarter initiatives involving the work of several engineers.
• Contribute toward building a high-performing team, serving as a role model to those around you in at least one technical area and one behavioral area.
• Provide a vision for not only our team but surrounding teams as well

What We're Looking For

• Bachelor's, Master's, or Ph.D. degree preferred in Machine Learning, Robotics, Computer Science, Mechanical Engineering, Applied Mathematics, or a related field
• Experience designing, training, analyzing, and deploying neural networks with PyTorch or other modern deep learning frameworks
• 5+ years of professional software development experience 
• Prior experience in autonomous vehicles or related robotics field
• Experience owning and leading technical development on features from problem formulation through implementation, testing, and real-world deployment

Senior Engineer:

• 3+ years of software development experience 
• 2+ years of Deep Learning product development experience preferred
• 1+ years of C++ software development experience preferred
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Experience mentoring and collaborating with others

Principal Engineer:

• 7+ years of software development experience 
• 4+ years of Deep Learning product development experience preferred
• 2+ years of C++ software development experience preferred
• Effectiveness at leading and executing large, complex technical initiatives 
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

Bonus Points 

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, CoRL, IROS, ICRA, etc.)
• Strong programming skills in C++ and/or CUDA programming

 This opportunity can support remote work within the United States, with occasional travel.