Motional

Technology

PrincipalEngineer

$275–450k ~AI est. Boston, Massachusetts, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Principal Engineer at Motional. Skills: Machine learning, Autonomous driving, Software engineering. Define motion planning projects. Execute motion planning projects”

What You'll Achieve.

Improve self-driving vehicles' capability

Industry & Context.

Technology
Problems you'll solve

Intellectual challenges

What They're Looking For.

Must Have

Masters or Ph. D., Proven leadership skills, Experience with deep learning frameworks, Fluency in Python, Advanced knowledge of software engineering principles, Excellent communication and interpersonal skills

Nice to Have

Experience with embedded systems, Experience with state of the art generative AI, Experience with reinforcement learning paradigms, Proven track record of publications

What You'll Do.

Define motion planning projects

Execute motion planning projects

Define prediction projects

Execute prediction projects

Design behavior models

Lead behavior model implementation

Productionize solutions

Collaborate with perception teams

Collaborate with simulation teams

Collaborate with data platform teams

Collaborate with integration teams

Validate on-road performance

Enhance on-road performance

Communicate strategies to leadership

Communicate progress to leadership

Communicate challenges to leadership

How You'll Work.

Team & Collaboration

ML engineers; Perception teams; Simulation teams; Data platform teams; Integration teams

Communication Scope

Executive presentations

Process & Methodology

Technical initiatives

Full Job 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. What You’ll Be Doing: 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 What We’re Looking for: 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 skill

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