Waymo jobs

Senior Product Manager, Fleet Optimization at Waymo (San Francisco/Mountain View, hybrid). Leads product roadmap definition and execution for depot throughput optimization and digital twin tools, collaborating with engineering, data science, and sales/operations planning teams. Requires 7+ years product management experience, ideally in operations automation, and strong analytical skills with computer science or operations research background. Involves domestic travel 2-3x quarterly and international ~2x yearly.

Senior Technical Program Manager for Waymo's Simulation & ML Platform focused on program execution, ML DevOps integration, dependency management, and release coordination for autonomous driving infrastructure. Requires 3+ years TPM experience and 2+ years managing ML infrastructure projects. Hybrid role in Mountain View or San Francisco, CA—location misaligned with candidate preference.

A Staff Software Engineer role at Waymo focused on Compute Reliability within the Planner/Perception team. Role involves designing instrumentation and onboard architecture to detect/debug reliability issues across heterogeneous compute platforms (CPU, TPU, GPU), building frameworks for fault diagnosis, and optimizing model and compiler performance. Requires C++, GPU/CUDA experience, and familiarity with ML ops tooling. On-site position in Mountain View, CA (hybrid); strong preference for robotics or autonomous vehicle background.

Waymo seeks a Senior Staff Machine Learning Engineer (7+ years) to design and optimize LLM/VLM model architecture for autonomous vehicles. The role focuses on low-latency inference optimization, hardware acceleration, and large-scale model training using deep learning frameworks, with expertise in foundation models for safety-critical autonomy systems. Based in Mountain View or San Francisco, CA.

Software Engineer position at Waymo focused on simulation (DUE Experience team) supporting autonomous driving technology development. Offers base salary range of $213k–$263k USD plus equity and benefits. Located in Mountain View, CA with remote work availability contingent on location approval from recruiter, indicating potential on-site requirements.