The Software Engineer will develop new storage infrastructure features, manage storage and dataset management aspects, improve production systems, and support cross-team collaboration. Responsibilities include automation, technical debt reduction, and system simplification.

The Product Data Science Lead will set the vision for a team, provide leadership, and analyze complex operational data to enhance performance as Waymo scales. This role involves collaborating with stakeholders and managing team resources.

As an ML Compiler Engineer at Waymo, you will enhance the performance of neural networks by improving their compiler. Collaborating with hardware architects, you will implement support for new features within a high-performance computing environment while working on cutting-edge autonomous vehicle software.

In this role, you will develop and deploy deep learning models, focusing on vision language models for autonomous driving applications. Responsibilities include working on model phases from data mining to deployment, and collaborating with research teams across Alphabet.

In this role, you will apply sensor fusion and machine learning techniques to solve real-world challenges. You will develop and deploy machine learning models, including vision language models (VLMs), and create data mining, labeling, training, and evaluation pipelines. Collaboration with product, infrastructure, and research teams is key to advancing the efforts in perception ML and VLMs.

The Sr. Software Engineer will develop an iOS application for controlling Waymo's autonomous cars, focusing on complex user experiences and phone-to-vehicle communication. The role involves collaboration with UX designers, product managers, and engineers to create trustworthy autonomous vehicle systems.

As a Software Engineer in Perception Evaluation at Waymo, you'll enhance evaluation pipelines and develop systems aligned with the Machine Learning roadmap while working closely with onboard engineers to improve quality metrics.

As a Community & Public Affairs Specialist, you will build relationships with community organizations, execute public affairs campaigns, represent Waymo at events, and manage event logistics in the Los Angeles area. This role requires strategic planning and advocacy to promote acceptance of Waymo's autonomous driving technology.

The Staff Machine Learning Engineer will lead collaboration with ML scientists and develop solutions to enhance performance in ML systems on both cloud and self-driving cars. Responsibilities include model optimization, analyzing workloads, and mentoring junior engineers.

The Corporate & Strategic Finance Manager at Waymo will perform complex financial analysis and modeling to guide corporate decisions, collaborate across functions to provide financial oversight, prepare financial reports for senior leadership, and oversee corporate finance functions including Treasury and investor relations.

The Senior ML Engineer will scale perception foundation models, design experiments, and collaborate with cross-functional teams to build infrastructure necessary for the development of machine learning solutions in autonomous driving.

The ML Engineer will lead efforts on model-platform co-optimization, focusing on enhancing training and inference efficiency of the perception foundation model. This role requires collaboration with various teams, designing and optimizing neural networks, and driving model optimization initiatives while fostering innovation and curiosity.

As a Systems Engineer for Power Systems at Waymo, you will be responsible for defining requirements for Low Voltage systems, collaborating with OEM partners, and conducting verification and validation tests. You will focus on power electronics systems engineering and analyze test data while ensuring safety and performance across various vehicle platforms.

The Staff Machine Learning Infrastructure Engineer will develop advanced AI/ML infrastructure for simulations. Responsibilities include scaling ML systems, guiding tech decisions, mentoring junior engineers, and collaborating with cross-functional teams to enhance multi-agent simulations.

The Senior Machine Learning Infrastructure Engineer will lead the development of AI/ML infrastructure for simulations, work on large-scale distributed systems, mentor junior engineers, and collaborate with cross-functional teams on machine learning system architectures.

The Senior Machine Learning Engineer will lead the development of cutting-edge simulations for autonomous vehicles, focusing on enhancing realism through foundation models. Responsibilities include conducting experiments, creating metrics for simulation evaluation, and integrating models into applications, all while collaborating across teams and contributing to the hiring process.

As a Tech Lead Manager, you will build and operate scalable simulation data pipelines to evaluate the Waymo Driver's capabilities, improve simulation signals, and apply machine learning models. You will enhance code health and collaborate with teams on the development of a virtual driver's test, relying on your software engineering expertise and leadership skills.

As an HR Business Partner, you will act as a liaison between employees and management, enhancing employee relations, overseeing hiring processes, and providing compliance advice. You will leverage your significant HR experience in tech, specifically within Eastern Europe, to foster a collaborative work culture and support leadership across departments with strategic insights and recruiting efforts.

As a Senior iOS Engineer at Waymo, you'll develop an iOS app for hailing and controlling autonomous cars, focusing on complex user experiences and human-computer interactions. Collaborating with UX designers and cross-functional teams, you'll deliver products that inspire trust in self-driving systems.

As a Staff Machine Learning Engineer, you will contribute to enhancing AV simulations using foundation models, design experiments, develop realism metrics, and integrate large models into simulations, while collaborating with teams across locations and helping to hire skilled engineers.