Gm Cruise - San Francisco, CA
posted 4 months ago
At Cruise, we are at the forefront of developing self-driving vehicles that aim to transform urban mobility. Our Behaviors Teams are tasked with creating machine learning models that enable our autonomous vehicles (AVs) to navigate smoothly and safely through complex urban environments. This role involves tackling a variety of exciting challenges, such as predicting the actions of nearby agents—like cars, buses, animals, and pedestrians—over the next few seconds, generating safe and comfortable trajectories for our vehicles, and optimizing these trajectories across multiple dimensions, including safety, comfort, and customer experience. The Behaviors Teams collaborate closely with our Perception partners to gather data from various sensors, which includes rich attributes, simulation data, and high-fidelity maps. This data is crucial for building the technologies that allow our vehicles to operate effectively. Additionally, we work with Robotics and Controls partners to ensure that our cars can accurately follow the planned paths. This position is versatile, driving a wide spectrum of applied machine learning research and development to address the challenges faced on urban roads. In this role, you will be expected to explore, prototype, validate, and iterate on new algorithms from a research perspective, while also optimizing and refining on-road performance for models on the path to production. As a technical leader within the department, you will guide current and future technology choices, balancing the business and operational impacts of different technology trade-offs. You will also enable other engineers on the team to be more effective by creating design and code that is easy to extend and contribute to, and you will be capable of influencing others and building consensus even in contentious technical discussions.