Jobs at Waymo

Design and implement firmware, low-level drivers, and APIs for ML accelerator chips. Analyze and optimize firmware/driver performance for AI workloads, collaborate with hardware engineers during ASIC design/verification, and implement efficient memory management including NUMA and IOMMU.

Lead real-time response to high-priority safety and operational incidents for Waymo's fleet. Drive immediate actions, coordinate cross-functional stakeholders, standardize escalation playbooks, run post-incident reviews, improve processes, and mentor teams while ensuring regulatory and safety compliance.

Lead global disruption management strategy and a regional team, serve as Incident Commander for high-severity events, operationalize playbooks, ensure regulatory compliance, support external reporting with regulators and legal, and deliver executive briefings. Maintain 24/7 on-call coverage and scale disruption processes across Waymo's autonomous fleet.

Lead architecture, development, and implementation of enterprise ServiceNow solutions and integrations, embedding generative AI and LLMs. Design Now Assist workflows, establish code governance and security for AI agents, improve CMDB data quality, implement ATF and upgrade strategies, and present technical AI solutions and ROI to executives.

Lead and grow a Product Data Science team to drive modeling, experiments, and data analysis that improve Waymo Driver performance and operational efficiency. Partner with senior leadership and cross-functional teams to prioritize resources, support geographic expansion, and translate vehicle and operational data into scalable product decisions.

Develop ML systems for autonomous driving, lead projects using RL and deep learning, and collaborate with cross-functional teams to improve Waymo's technology.

Manage go-to-market plans for product launches, ensuring effective messaging, performance monitoring, and collaboration with cross-functional teams to drive brand growth and user engagement.

The Executive Business Partner supports the CEO with strategic management, coordinates complex scheduling, enhances operational excellence, and builds cross-functional relationships.

The role involves developing sensor-fusion models for autonomous driving, optimizing model deployment, and leading technical teams in machine learning engineering.

Apply deep learning to improve quality and accuracy of labeled multi-modal sensor data for simulation. Build models to identify and correct perception-data issues, analyze data quality and anomalies, collaborate with perception and simulation teams, and lead ML strategies for high-fidelity data generation and labeling pipelines.

Develop and maintain the Android platform for autonomous vehicles, evaluate vendor kits, provide technical support, and bring up Android on new hardware.

Lead the integration and debugging of mechanical, electrical, and software systems for self-driving vehicle platforms, collaborating with vendors and internal teams.

Lead growth initiatives for Waymo's rider product by building features, tooling, and infrastructure to drive trip growth. Partner cross-functionally with data science, marketing, UX, engineering, and operations to improve experimentation, measurement, and customer acquisition efficiency. Define and promote growth strategy to senior leaders and execute on incentives and CAC optimization.

Lead design and implementation of real-time 3D visualization and rendering pipeline for Android-based in-car infotainment. Integrate visual assets, optimize shaders and GPU/CPU/memory for low-latency performance, debug complex rendering issues, and collaborate with product and UX teams to translate perception data into fluid animations on resource-constrained hardware.

Lead strategy and execution for Waymo's Simulation and ML Evaluation platforms. Integrate simulation into the ML development loop, deliver cross-functional programs to scale evaluation infrastructure, manage resourcing and capacity, align stakeholders, and build and mentor a high-performing TPM team to accelerate model training, evaluation, and validation.

Build infrastructure for monitoring ML model performance, empower ML engineers to optimize models, and maintain a performance metrics database for internal users.

Lead execution of large cross-functional programs for simulation and ML evaluation. Integrate simulation and playback tools into ML development loops, manage dependencies and risks, coordinate releases and operations, contribute technical judgment to platform design, and scale evaluation processes and tooling for developer velocity and reliability.

Lead a team focused on optimizing machine learning model performance, setting technical direction, and driving large technical projects. Provide mentorship and analyze performance opportunities for complex systems.

Lead design and deployment of scalable auto-labeling pipelines and automated graders. Train, optimize, and productionize state-of-the-art 2D/3D computer vision models and VLMs. Set ML strategy, mentor engineers, and collaborate with Perception, Planner, and Simulation teams to meet labeling needs.

Lead vehicle body-structure development using stamping, casting, and hydroforming. Create 3D/2D CAD layouts and package studies (CATIA), recommend materials, validate with CAE, present cost/tooling tradeoffs, and coordinate supplier selection and DFM through production launch.