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Senior engineer at Waymo designing and implementing regulatory compliance systems for autonomous driving, ensuring alignment with safety standards and international market entry requirements.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Senior engineer who leads safety analyses for autonomous vehicle systems, defining hazards, risks, and mitigations while collaborating with engineering and operations teams.
Designs and enforces security requirements for autonomous vehicle systems, integrating hardware and software with OEMs while validating network and module protections.
Develops backend services for Waymo's autonomous ride-hailing platform, enabling users to book and control self-driving vehicles with a focus on scalability and reliability.
Builds and improves a full-stack simulation tool for autonomous driving using Alphabet tech, collaborating with US teams in a hybrid Warsaw role.
Senior Software Engineer at Waymo designing and maintaining scalable data pipelines to process petabytes of sensor data for autonomous driving ML models, using C++/Python and cloud data tools.
Develops and evaluates perception systems for autonomous vehicles, focusing on sensor health, calibration, and large-scale ML evaluation frameworks using C++ and AI techniques.
Develops and evaluates metrics to measure the performance of Waymo's autonomous driving software using simulation and real-world data, with a focus on C++, Python, and statistical analysis.
Develops C++ software for autonomous vehicle systems, integrating on-vehicle and off-vehicle components to manage critical functions like sensing, motion control, and fault management.
Waymo’s Software Quality Operations Specialist in London designs and deploys AI/ML tools to detect autonomous vehicle issues, triage driving events, and scale operations for new international markets like London.
Develops and maintains AI-driven quality assurance processes for Waymo’s autonomous driving software, analyzing driving events and deploying ML tools to ensure safety and scalability across new markets.
This role ensures the safety and reliability of Waymo's autonomous driving software by developing AI-powered quality control processes, analyzing driving events, and scaling operations for rapid expansion into new cities and vehicle platforms.
Develops and optimizes low-level Android Automotive software for an in-house vehicle infotainment system, integrating Linux kernels, AOSP, and hardware-specific components.
Lead a data science team to rigorously evaluate Waymo’s autonomous driving system’s compliance with road rules, using statistical methods and cross-functional collaboration to improve safety and scale deployment.
Leads the architecture and development of Waymo's iOS app, focusing on modular, performant SwiftUI/Swift codebases, networking, and user-facing features for autonomous ride-hailing services.
Builds and scales machine learning infrastructure for autonomous vehicle perception systems, focusing on data flywheels, model training, and performance evaluation using large-scale real-world driving data.
Leads development of deep learning and generative AI models to evaluate and improve Waymo’s autonomous driving systems, using large-scale data and ML frameworks like TensorFlow and PyTorch.
Build ultra-realistic autonomous-vehicle simulations using large foundation models to train and evaluate Waymo’s self-driving AI in London, collaborating with teams in Mountain View and Oxford.
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