Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Onboard Software Performance team ensures that systems running on ADV (Autonomously Driven Vehicle) meet strict performance requirements such as producing necessary outputs within strict latency targets and using an appropriately allocated amount of compute resources (CPU/GPU/TPU/RAM etc) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while enabling high velocity of system evolution.
In this hybrid role, you will report to a Senior Staff Engineer, Technical Lead Manager.
You will:
You have:
We prefer:
#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Lead a core platform engineering team building services that connect edge vision AI with store systems and the cloud, owning delivery, developing engineers, and guiding technical design and quality.
Leads cloud, infrastructure, and application security teams, setting vulnerability management strategy and driving remediation within SLAs while building secure development practices and meeting compliance commitments.
Lead and grow software engineering teams, translating product strategy into reliable delivery while guiding architecture, engineering quality, team development, and execution as the organization scales.
Lead the security engineering team building identity, permissions, isolation, and oversight for autonomous agents, while shaping customer-facing controls that protect sensitive codebases and enable trusted agent workflows.
Lead and develop a team of Applied AI Engineers, helping strategic customers integrate Codex into software development workflows and scale reliable, effective AI-powered engineering practices.
