Senior Android Engineer at Waymo | Mountain View, CA & San Francisco, CA

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we strive to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and a track record of over 100 million miles driven autonomously on public roads, backed by tens of billions of miles in simulation across more than 15 U.S. states, we are committed to safety and innovation.Our Systems Engineering team is integral to merging software and hardware systems in innovative ways. We set rigorous performance standards to ensure the seamless operation of our vehicles and the safety of our passengers, crafting and executing tests to validate these standards. We are seeking passionate individuals who excel in collaboration and are dedicated to achieving results.This position follows a hybrid work model and reports to a Staff Systems Engineer.

Join Waymo as a Senior Systems Test Engineer, where you will play a crucial role in ensuring the quality and reliability of our cutting-edge autonomous vehicle technology. You will collaborate with cross-functional teams to develop and execute test strategies that enhance our systems' performance and safety. Your expertise will contribute to the evolution of self-driving technology, making transportation safer and more efficient.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have committed ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service and is versatile enough to be implemented across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving over 100 million miles on public roads, our technology stands out as a leader in the industry.Your Role:Build and sustain a robust data processing platform utilized by both onboard and offboard teams for extracting insights from vast amounts of driving logs and simulation data.Design and implement a low-latency streaming data processing system to facilitate real-time discovery of essential driving events.Enhance the reliability, scalability, and efficiency of our signal generation infrastructure by establishing service level objectives (SLOs) and minimizing operational overhead for large-scale data processing tasks.Foster collaboration with cross-functional teams in Perception, Planning, and Data Science to transition legacy systems to modern frameworks and support emerging analytical needs.

Waymo, a leading autonomous driving technology company, is dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has been at the forefront of developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access and save lives currently lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rides provided and extensive experience driving more than 100 million miles on public roads, and tens of billions in simulation across over 15 U.S. states, we are committed to transforming transportation.At Waymo, we generate an extraordinary scale and complexity of data from billions of miles driven in simulations and millions on public roads. Central to our mission is the deep understanding of this data.Our world-class data analysis infrastructure is the cornerstone of our success. It is crucial for:Validating the safety and performance of the Waymo Driver.Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning.Facilitating data-driven decision-making for our commercial operations and product strategies.Standardizing our progress measurement and performance comparisons across different contexts.Insights derived from our data platforms influence every aspect of our technology and business. We are in search of an extraordinary technical leader to drive the vision and architecture of these essential systems.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Waymo is seeking a dedicated and innovative Product Manager to join our Vehicle team. In this role, you will drive the development and enhancement of our cutting-edge vehicle technology, collaborating with cross-functional teams to deliver exceptional products that redefine transportation.You will play a pivotal role in shaping the future of mobility, utilizing data-driven insights to inform product decisions and create compelling user experiences. If you are passionate about technology and eager to make a significant impact in the automotive industry, we want to hear from you!

About Us:Aeva is at the forefront of perception technology, revolutionizing a myriad of industries including automated driving, industrial robotics, consumer electronics, consumer health, and security. Our mission is to pioneer the next generation of perception technologies, integrating essential LiDAR components into a compact silicon photonics chip. Our cutting-edge 4D LiDAR sensors offer unique capabilities, such as instant velocity detection alongside 3D positioning, empowering autonomous devices like vehicles and robots to make smarter, safer decisions.Role Overview:We are seeking a passionate and experienced Senior Perception Engineer to enhance our classical perception algorithms stack. As a critical member of our dynamic team, you will delve into the capabilities of Aeva’s 4D FMCW LiDARs, pushing the boundaries of autonomous driving performance further than ever before.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, has successfully completed over ten million rider-only trips and navigated more than 100 million miles autonomously on public roads across over 15 U.S. states.As a Senior Security Engineer, you will play a pivotal role in fortifying Waymo's cybersecurity framework for our cutting-edge products and services. You will analyze system components, devise comprehensive cybersecurity strategies, and conduct Threat Analysis and Risk Assessments (TARA) in line with ISO/SAE 21434 standards. Your responsibilities will include defining and managing security requirements, determining risk treatment options, and collaborating with engineering and safety teams throughout the product lifecycle to identify and mitigate security and safety risks. Additionally, you will ensure ongoing compliance with relevant standards across various projects.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. With over ten million rider-only trips completed, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and simulated tens of billions of miles across 15+ U.S. states.The Waymo Safety team is committed to advocating for and continuously advancing the safety of our fully autonomous driving technology. Our specialists set safety objectives and strategies, performing safety engineering analyses to ensure safety considerations are integral throughout vehicle design and development. This team also formulates and endorses safety policies for autonomous vehicles in collaboration with regulatory bodies, lawmakers, law enforcement, and both public and non-profit organizations. Furthermore, our Safety Team provides guidance on adhering to relevant environmental, health, and safety regulations.In this hybrid role, you will report to our Head of Safety Management and Best Practices.Your Responsibilities Include:SMS Policy Maintenance: Assist the SMS Lead in the creation, periodic review, revision, and implementation support of enterprise-level safety policies and governance documentation.Culture Management & Promotion: Design and implement closed-loop processes to maintain and promote a positive safety culture, along with internal initiatives such as Safety Month, newsletters, and town halls to elevate safety awareness.Governance Support: Aid in managing safety committees and working groups, ensuring alignment between policy goals and effective departmental execution.Stakeholder Engagement: Serve as the main point of contact for internal teams to interpret safety policies and gather feedback to enhance the SMS and the 'lived' safety culture.Goals & Metrics: Develop and monitor SMS-related goals and Safety Performance Indicators (SPIs) that align with the broader SMS objectives.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and saving thousands of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips delivered, our technology has demonstrated its capabilities through over 100 million miles driven autonomously on public roads and tens of billions of miles simulated across more than 15 U.S. states.Our Systems Engineering team plays a pivotal role in integrating software and hardware systems in innovative ways. We establish high-performance standards that guarantee the smooth operation of our vehicles and the safety of our passengers, followed by designing and executing tests to validate these performance metrics. We are on the lookout for passionate individuals who thrive in teamwork and are committed to achieving results.This position follows a hybrid work model and reports directly to the Manager of Systems Engineering, Driving Behaviors.

Waymo is at the forefront of autonomous driving technology, aiming to become the most trusted driver worldwide. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—dubbed The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic accidents. The Waymo Driver operates our fully autonomous ride-hailing service and its capabilities extend across various vehicle platforms and use cases. With an impressive record of over ten million rider-only trips, our autonomous systems have driven more than 100 million miles on public roads and tens of billions of miles in simulation across 15+ U.S. states.The Core Platform team plays a pivotal role in managing software and infrastructure for several components of Waymo's self-driving system. Our responsibilities span from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, full-system debugging, system telemetry, and ensuring system reliability. Collaboration with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams is essential as we innovate the most efficient and low-latency self-driving solutions in the industry.

Waymo, originally launched as the Google Self-Driving Car Project in 2009, has become a leader in autonomous driving. The company’s technology has powered over ten million rider-only trips and logged more than 100 million miles on public roads, with extensive simulation testing across more than 15 U.S. states. Waymo focuses on fully autonomous ride-hail services and adapts its technology to various vehicle platforms, aiming to improve mobility and road safety. The Hardware Engineering group at Waymo brings together experts in electrical, mechanical, reliability, software, and vehicle engineering. This team is responsible for designing, building, and refining the sensory systems that help autonomous vehicles perceive their environment. Team members value collaboration and curiosity as they integrate new technologies into vehicle platforms. Role overview The Sensor Electrical Engineer will join the Hardware/Sensor team and report to the Sensors Hardware Lead. This hybrid role is based in Mountain View, CA. What you will do Oversee the entire product life cycle for sensor technologies, from initial design and development through to mass production. Collaborate closely with cross-functional teams, including software, mechanical, and manufacturing partners, to deliver reliable and innovative engineering solutions. Location and work model This position is located in Mountain View, CA and follows a hybrid work schedule.

Waymo, an innovative leader in autonomous driving technology, is on a mission to redefine mobility by creating the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and preventing traffic-related fatalities. Our autonomous ride-hail service, powered by the Waymo Driver, has completed over ten million trips, with an impressive track record of driving more than 100 million miles on public roads and tens of billions in simulations across 15+ U.S. states.The Perception team plays a crucial role in this journey by constructing systems that learn and interpret the spatial-temporal representations and semantic meanings of the environments surrounding our self-driving vehicles. We collaborate closely with other teams to optimize and integrate these systems into the Waymo Driver, while also conducting cutting-edge research to tackle real-world challenges. Our engineers leverage vast datasets from diverse sensors, allowing them to (1) devise methods for continuously learning from large-scale real-world data, (2) create scalable models and training processes, (3) analyze real-world behaviors to navigate complex interactions, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager within the Semantics subgroup of our Perception organization.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant strides in developing the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while preventing countless traffic-related fatalities. With over ten million rider-only trips and extensive autonomous driving experience across more than 100 million miles on public roads, Waymo continues to redefine transportation solutions in over 15 U.S. states.The Machine Learning Operations (ML Ops) team, a vital part of the Waymo ML Platform, is responsible for creating tools and infrastructure that facilitate the ML flywheel at Waymo. This team focuses on developing automation and orchestration solutions that streamline complex ML workflows and collaborates closely with the modeling team to enhance developer efficiency.We are seeking a skilled software engineer to join our team, responsible for building and maintaining critical data and ML pipelines that drive ML development at Waymo.In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

Waymo, a pioneer in autonomous driving technology, aims to be the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our focus is on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips enabled by more than 100 million miles of autonomous driving on public roads and tens of billions in simulation across 15+ states, we are setting the standard for safety and innovation.Your Role:Partner with engineering teams to embed security considerations throughout the design, development, and testing phases.Create security tools that empower both security and engineering teams.Conduct thorough technical security assessments, code audits, and design reviews.Provide technical solutions to address security vulnerabilities.Research and identify emerging attack vectors targeting Waymo's offerings.Establish Threat Models based on industry best practices.Develop security requirements for Waymo's engineering and supplier partners.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, powers our fully autonomous ride-hailing service and extends to various vehicle applications. With over ten million rides completed and more than 100 million miles driven autonomously on public roads, our impact is profound and growing.The Transportation as a Service (TaaS) team is committed to crafting exceptional user experiences and driving business growth around the Waymo Driver.Our responsibilities encompass Growth, Territory Expansion, Service Quality (including pickup, drop-off, and routing), Marketplace (pricing, positioning, matching), and Partnership monetization (B2B and B2C).The Trip Platform team focuses on developing Waymo's essential trip platform to support diverse high-growth applications, such as ride-hailing and delivery, catering to both first-party and third-party B2B partners, broadening access to Waymo's technology.In this hybrid role, you will be reporting to an Engineering Manager.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—with the goal of enhancing mobility access and reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. To date, our technology has facilitated over ten million rider-only trips, backed by extensive experience that includes more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across over 15 U.S. states.Our Systems Engineering team collaborates to integrate software and hardware systems in innovative ways. We set and uphold high-performance standards that ensure our vehicles operate seamlessly and prioritize passenger safety, while also designing and executing tests that validate those standards. We seek passionate and talented individuals who thrive in a team-oriented environment and are committed to achieving results.This position operates on a hybrid work schedule and reports directly to the Vice President of Systems Engineering.

Join Waymo as a Systems Integration Engineer where you'll play a crucial role in enabling the integration of cutting-edge technology within our autonomous vehicles. Collaborate with interdisciplinary teams to ensure systems work seamlessly together to create a safer and more efficient transportation solution.

At Waymo, we are pioneering the future of autonomous driving technology with a mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus is on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hailing service but is also adaptable to various vehicle platforms and use cases. With over ten million trips completed and more than 100 million miles driven autonomously on public roads, we are setting the standard in the industry.The Simulator Team at Waymo is dedicated to creating advanced simulations that replicate realistic environments for the testing, training, and validation of the Waymo Driver. Our diverse and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers develop cutting-edge simulation solutions that utilize sophisticated generative and reconstructive ML algorithms. These simulations model real-world scenarios, including realistic agents, roads, traffic systems, weather conditions, and an extensive sensor suite (Camera, Lidar, Radar).In this position, you will play a crucial role in enhancing the fidelity, scalability, and richness of our simulations. By leveraging state-of-the-art ML technologies and large-scale datasets, you will help create dynamic virtual worlds that directly influence the development and validation of the Waymo Driver.In this role, you will report to a Senior Staff Engineering Manager.