
Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.
Open Positions at Waymo
144 open positions
Lead the technical roadmap and productionization of large-scale generative world models that simulate realistic, interactive driving environments for Waymo’s autonomous systems. This staff-level role combines multimodal pre-training, post-training alignment, 3D/4D physical modeling, and high-throughput simulation infrastructure.
Develop high-performance onboard and simulation software for Waymo’s autonomous driving systems, optimizing latency, compute usage, and reliability across CPU, GPU, and TPU platforms. This hybrid role combines C++ performance engineering, hardware/software codesign, and large-scale evaluation.
Build the infrastructure, simulation platforms, and developer tooling that accelerate software development for Waymo’s onboard autonomous-driving engineers. This role focuses on scalable performance, reproducibility, and resource optimization across cloud and vehicle simulation systems.
Join Waymo’s Driver Refinement Foundations team as a graduate ML intern, building data-generation pipelines and evaluating models that improve autonomous driving behavior. The hybrid onsite internship offers hands-on work with driving data, large language models, and world foundation models.
Waymo is seeking a graduate student intern to improve machine learning and reinforcement-learning infrastructure for autonomous driving. The role focuses on training efficiency, scalable frameworks, and integrating new RL technologies.
Build production-grade machine learning systems that evaluate autonomous vehicle behavior and improve the Waymo Driver through large-scale simulation and data workflows. This role combines applied deep learning, ML infrastructure, and collaboration across teams to bring advanced models into production.
Build and deploy machine-learning systems that improve Waymo’s autonomous driving capabilities across perception, motion prediction, and trajectory planning. This role combines generative-model development with production validation for safe, smooth vehicle behavior.
Build backend infrastructure and internal labeling tools that power Waymo’s high-resolution mapping systems for autonomous driving. You’ll collaborate across mapping, UX, operations, and ML teams to scale map data processing for cities worldwide.
Lead the architecture and delivery of large-scale horizontal integrations across Waymo’s simulator platform, connecting onboard autonomy systems with offboard simulation and evaluation workflows. This principal technical leadership role shapes multi-year technical vision for next-generation vehicle platforms, ML systems, and simulator capabilities.
Join Waymo as a 2027 software engineering intern working on autonomous driving, including perception, driving behavior, evaluation, and challenging long-tail scenarios. The hybrid role offers hands-on experience with C++, Python, SQL, robotics, and large-scale driving data.
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