Principal Engineer

Role Description

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users.

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios.
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning.
• Productionize and deploy solutions onto autonomous vehicle fleets.
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance.
• Communicate strategies, progress and challenges to executive leadership.

Qualifications

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience.
• Proven leadership skills at executing large, complex technical initiatives.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Fluency in Python, including standard scientific computing libraries.
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics.
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.
• Excellent communication and interpersonal skills.

Requirements

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.
• Experience with state of the art generative AI, and/or reinforcement learning, paradigms.
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.).
• Strong programming skills in C++ and/or CUDA programming.

Benefits

• Medical, dental, vision.
• 401k with a company match.
• Health saving accounts.
• Life insurance.
• Pet insurance.
• And more.

Company Description

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

• Our journey is always people first.
• We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect.
• Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
• We’re creating first-of-its-kind technology that will transform transportation.
• We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization.
• Our team is behind some of the industry's largest leaps forward, 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 longest-standing public robotaxi fleet.
• Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.
• Headquartered in Boston, Motional has operations in the U.S and Asia.