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The Physical Design Lead at Waymo will drive custom silicon partnerships, ensure implementation meets performance and schedule goals, and manage a team of design experts. Responsibilities include collaborating with partners on PD flows, reviewing final sign-off for tape-out, and escalating program risks while leveraging extensive experience in physical design of complex SoCs or ASICs.
As a GPU Software Engineer at Waymo, you will collaborate with application teams to optimize algorithms for GPU utilization. This includes building high-performance abstractions, improving compiler optimizations, and analyzing GPU performance. You will also co-design future hardware features.
The Charging Infrastructure Program Manager will provide strategic direction for the procurement, design, construction, and maintenance of EV chargers. Responsibilities include managing vendor teams, ensuring compliance with standards, enhancing service ticket resolution, and partnering with sustainability teams to meet carbon-free goals. The role demands strong communication and analytical skills to support decision-making.
The Technical Program Manager will lead cross-functional teams to drive the execution of projects related to the Waymo Driver. Responsibilities include risk management, setting up organizational efficiencies, and ensuring effective communication across the organization to meet product goals.
As a Systems Engineer at Waymo, you will collaborate with software engineers and product managers to develop system requirements, architectures, and verification strategies for depot automation features. Your role involves debugging issues, validating performance, and implementing improvements, while maintaining a strong focus on teamwork and results.
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 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.
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.
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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