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You will create test specifications for hardware in Autonomous Vehicles, design and maintain testing stations, provide technical leadership for production testers, conduct failure analysis, and develop troubleshooting procedures.
As a Machine Learning Tooling Software Engineer, you'll build infrastructure to monitor ML model compatibility and performance, empower ML engineers with tooling for optimization, and maintain a database of model performance metrics for internal users.
As a Software Engineer in the Sensors team at Waymo, you will engage in multidisciplinary collaboration focused on radar, cameras, and sensor architecture design. Responsibilities include maintaining cloud-based manufacturing and test infrastructure, embedded control for radar, and conducting software testing to ensure reliability of systems used in autonomous vehicles.
As an ML Performance Engineer at Waymo, you will optimize application and ML model performance, ensuring correctness and evaluating impacts of changes. You'll work on performance traces, add testing for regressions, and collaborate with infrastructure teams for better performance across applications.
As a Software Engineer specializing in Computer Vision and Deep Learning at Waymo, you will develop multi-modal sensor fusion architectures and large-scale foundation models. You will also create data pipelines to enhance the Waymo Driver's capabilities using machine learning.
The Software Engineer will develop and deploy deep learning models, including vision language models (VLMs) and large language models (LLMs). Responsibilities include creating data mining and training pipelines and collaborating with research teams across Alphabet, leveraging vast driving data for model development.
As an iOS Engineer at Waymo, you will develop an iOS application for controlling and hailing autonomous vehicles, focusing on UI and phone-to-vehicle communication. Collaborate with designers and engineers to create trust-inspiring user experiences while employing best practices in app development.
The Site Reliability Engineer at Waymo is responsible for overall reliability of internal and external services, focusing on architectural resiliency, safety, and automation. Key responsibilities include auditing and redesigning architectural flows, collaborating on reliability projects, building automation tools, and being on-call for important software systems.
As a Senior ML Engineer, you will investigate and develop theories for scaling perception foundation models, design experiments to validate hypotheses, and build training infrastructure while collaborating with cross-functional teams. You will share findings through writing and presentations.
The Motion Systems Engineer will manage requirements for braking, steering, and propulsion of motion control actuators, lead architecture discussions, contribute to hardware and software design reviews, and coordinate motion control actuator integration. They will investigate issues and validate actuators for driver-less operation through testing and analyses.
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