As a Senior Software Engineer, you will develop and maintain scalable, high-throughput inference platforms and collaborate on hosting ML models to enhance developer efficiency at Waymo.
As a Software Engineer on the Planner Evaluation team, you will develop performance metrics and improve software quality for Waymo's autonomous driving technology using data-driven approaches.
As a Senior Software Engineer at Waymo, you will develop algorithms and tools to enhance the safety and predictability of autonomous vehicle behavior in complex real-world scenarios.
Lead a small team to develop tools for mining and sampling data, ensuring safety and service quality for Waymo's autonomous driving technology across new cities.
As a Software Engineer on the Perception team, you will develop and evaluate high-scale automation frameworks to enhance the Waymo Driver's capabilities in diverse driving conditions.
Lead the development of onboard motion planning systems, enhancing low-speed maneuvering and mentoring junior engineers while tackling complex driving challenges.
As a Software Quality Operations Specialist, you will enhance the Waymo Driver's safety and reliability by leveraging AI and machine learning to improve issue detection and operational efficiency.
Design and deploy machine learning models to automate the creation of high-resolution maps for Waymo's autonomous driving technology, collaborating with various teams to enhance mapping automation.
Lead the design and development of multi-sensor model architectures for scene understanding, focusing on object detection, occupancy prediction, and trajectory planning in autonomous driving.
As a Senior Software Engineer on the Fleet Orchestration and Optimization team, you will design and build critical infrastructure for Waymo's ride-hailing and fleet management systems.
Develop and manage high-quality C++ software systems for autonomous vehicle functions, impacting Waymo's ability to scale operations across more vehicles and cities.
As a Perception Machine Learning Engineer, you will apply machine learning techniques to develop multi-modal sensor fusion architectures and enhance object detection and tracking systems for autonomous vehicles.
As a Software Engineer on the Simulation Infrastructure team, you will design and develop features and systems to enhance the Waymo Driver's software stack at scale.
In this hybrid role, you will lead the development of modular architecture improvements for autonomous driving systems, ensuring high performance and efficient compute utilization.
As a Technical Program Manager for onboard systems, you will drive cross-functional project execution, manage schedules, and facilitate collaboration across teams to ensure successful deployment of the Waymo Driver.
As a Senior Android Platform Engineer, you will enhance the Android system for autonomous vehicles, focusing on hardware integration and user interface development.
Lead safety analyses and risk assessments for autonomous vehicle technology, ensuring compliance with safety standards and improving safety processes within Waymo.
Design and implement advanced machine learning models for autonomous vehicle planning and prediction, transforming real-world driving challenges into scalable solutions.
Lead a data science team to evaluate the Waymo Driver's compliance with road rules, ensuring measurement rigor and contributing to deployment strategies across multiple markets.
As a Senior Machine Learning Engineer, you will develop and train advanced computer vision models, design scalable AI frameworks, and enhance system capabilities through innovative techniques.
As a Staff Software Engineer on the Simulator Team, you will enhance simulation fidelity and scalability while collaborating with engineers to support critical milestones for the Waymo Driver.
As a Senior Security Engineer, you will establish and maintain robust cybersecurity for Waymo's products by evaluating systems, performing threat analysis, and ensuring compliance with standards.
Design and enhance distributed input data pipelines for large-scale ML training workloads, collaborating with researchers to optimize performance and scalability.
Develop and test Linux Kernel drivers and system software components for high-performance embedded systems as part of the System Software Team at Waymo.
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