Top Tech Jobs & Startup Jobs

Build and evaluate machine learning models that generate high-definition maps from raw sensor data. Develop statistical evaluation methods, scalable distributed data-processing pipelines, and backend infrastructure for global mapping. Collaborate with onboard engineering teams to improve mapping formats, manage the full modeling lifecycle, and measure system-wide impact. The role emphasizes autonomous vehicle mapping, large-scale systems, quantitative experimentation, and end-to-end software engineering ownership.

Develop software for autonomous vehicles that produces safe, smooth, and predictable driving behavior. Frame complex real-world scenarios as engineering problems, build algorithms and evaluation tools, scale solutions to large data pipelines, and optimize them for real-time operation in vehicles. The role involves collaborating across software, hardware, and systems engineering teams, with applications in motion planning, robotics, and machine-learning-based systems.

Develop software, algorithms, tools, and evaluation systems for autonomous vehicle maneuvering and motion planning. Solve complex real-world driving problems involving uncertainty and social interactions, scale solutions across large data pipelines, and optimize them for real-time vehicle operation. Collaborate with multidisciplinary engineering teams to ensure Waymo vehicles behave safely, smoothly, and predictably.

Develop software for autonomous vehicles that enables safe, smooth, and predictable driving behavior. Frame complex real-world problems, build algorithms and evaluation tools, scale them across large data pipelines, and optimize them for real-time vehicle operation. Collaborate with multidisciplinary teams on motion planning, robotics, machine learning, and autonomous driving systems.

Train and evaluate loss-of-control models, derive data-quality signals from learned models, design effectiveness measures, and build data pipelines for annotating synthetic training data.

Design and implement reliability tooling software, collaborate with teams on product requirements, analyze reliability data, and document tools for users.

Owns knowledge and training readiness for Waymo’s vendor support teams. Responsibilities include identifying curriculum gaps, improving training tools and knowledge materials, analyzing proficiency and ramp data, driving agent adoption and time-to-proficiency, and validating operational readiness for safety testing. The role also approves knowledge-base changes, develops learning approaches, and coordinates with knowledge, operations, and executive stakeholders to improve consistency, compliance, and agent performance.

Design and deploy machine learning models for creating HD maps, utilizing advanced ML techniques and collaborating with other teams to deliver reliable solutions.

Define technical vision and architecture for agentic, multi-agent systems that improve autonomous-driving event triage and evaluation. Lead development of scalable frameworks supporting dynamic reasoning, planning, tool use, self-reflection, and orchestration. Identify applications across the Waymo Driver evaluation lifecycle, establish roadmaps, collaborate across teams, and mentor engineers. The role requires extensive software engineering and AI/ML expertise, technical leadership, and experience building complex production systems.

Lead complex expansion programs for new markets and capabilities, owning launch plans, critical paths, deliverables, timelines, workflows, risks, and dependencies. Coordinate Product, Engineering, Go-to-Market, Legal, and Operations teams; align stakeholders from senior leadership through execution; and remove blockers. The role supports market launches, business scaling, commercialization, and deployment of autonomous driving technology across geographies.