Staff Engineer

Motional•Boston, MA

9d•$205,000 - $272,000•Onsite

About The Position

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.

Requirements

Bachelors, 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

Nice To Haves

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

Responsibilities

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 progress and challenges to leadership