Jobs at Waymo

Develop statistical and machine learning techniques, quantitative models, and scalable automation for evaluation pipelines. Build data-processing infrastructure, improve evaluation efficiency, and solve ambiguous problems across statistics, ML, and large-scale systems. Collaborate with engineers, data scientists, product managers, and leadership while maintaining code quality in a complex codebase.

Leads U.S. and global experiential marketing strategies, sponsorships, partnerships, event activations, negotiations, budgets, and cross-functional execution. Translates Waymo’s brand strategy into immersive experiences that build public trust in autonomous technology. Manages event-based strategy, measurement frameworks, commercial agreements, vendors, and leadership approvals. Requires extensive event sponsorship expertise, strategic and tactical execution, and the ability to manage complex initiatives in a fast-paced environment.

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.

Analyze workloads for hardware mapping, design machine learning solutions, and collaborate with cross-functional teams on high-performance architecture.

Develop GPU primitives, manage performance on new platforms, collaborate on SoC projects, and enhance CI/CD testing for GPUs.

Develop and lead evaluation systems, benchmarks, and large-scale data pipelines for Waymo foundation models and embodied AI agents. Evaluate models across pretraining, supervised fine-tuning, and reinforcement learning for quality, safety, and realism. Collaborate across teams to bring innovative machine learning technologies into production. The role requires strong ML engineering, deep learning, distributed systems, programming, analytical, and debugging skills.

Lead and own international expansion programs, coordinate cross-functional market-entry activities (vehicle, software, regulatory, compliance, partners), drive critical paths, remove risks and dependencies, improve workflows, and align stakeholders while reporting program status to senior leadership.

Design and implement compiler optimizations and new compiler features for a high-performance neural network inference platform. Analyze generated code performance, collaborate with hardware architects for hardware/software codesign, and work with model developers to tune networks for inference efficiency and accuracy. Leverage agentic AI to accelerate analysis, planning, and production software improvements.

Develop signals to measure the performance of the Waymo driver, analyze data, improve metric quality, and collaborate on evaluation products for autonomous driving software.

Design and productionize ML models and infrastructure to assess autonomous vehicle behavior in simulation and field. Operate large-scale ML and data systems, build simulation workflows, combine human judgments with ML for training and evaluation, and collaborate across teams to deploy state-of-the-art models and improve model quality.

Develop and productionize ML models for assessing autonomous vehicle behavior, build ML infrastructure, and collaborate across teams for deployment.

Develop and optimize emulation testbenches and infrastructure to validate silicon and software, write synthesizable transactors and C-DPI interfaces, triage hardware/software failures, assist post-silicon bring-up, and build tools for automation, CI, regression, and user support.

The Senior Software Engineer will drive the architecture of core services for evaluation workflows, mentor junior engineers, and ensure APIs meet evaluation complexities.

Manage EHS programs, ensure compliance with regulations, lead incident investigations, and provide EHS leadership for operations across multiple sites.

Lead procurement strategy for engineering services and R&D hardware, manage high-volume outsourced engineering contracts, negotiate complex commercial and IP terms, structure SOWs/NREs/JDM/ODM agreements, optimize manufacturing relationships, perform make-vs-buy analyses, partner with Legal on IP and cybersecurity, and present TCO to Finance and Hardware leadership to support rapid hardware prototyping and development.