Technical Recruiter (Compute and AI Foundations)

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. Waymo’s People team recruits and supports the world’s best talent. In this hybrid role, you will report to a Senior Manager, Talent Acquisition.

Responsibilities

Drive full-cycle recruitment for complex hardware and technical engineering roles; Partner with hiring managers and senior engineering leadership to define the search and manage the pipeline; Source passive candidates and build strategic talent maps within the hardware, AI, AV and robotics sectors; Manage the candidate experience, including screening and interview preparation; Lead complex offer negotiation and candidate closing; Execute hiring processes and candidate sharing across open roles

Requirements

5+ years of experience doing full lifecycle technical recruiting, with a strong focus on hardware engineering profiles; Familiarity with hardware development lifecycles and hiring profiles; Aptitude for hardware technical terminology and engineering concepts; Proven success closing candidates and negotiating complex compensation packages; Experience working directly with senior engineering leadership; Experience working in a startup or fast-paced hiring environment

Nice to have

An established, active network of top-tier hardware engineering professionals; Experience recruiting for other technical areas outside of hardware, such as Machine Learning (MLE) or Software Engineering

Benefits

top-notch medical, dental and vision insurance; mental wellness support; gym membership; special wellness programs; competitive compensation; bonus opportunities; equity; employees provident fund; other perks and employee discounts; flexibility to work from another location for four weeks per year; paid time off; bereavement, sick, and parental leave; discretionary annual bonus program; equity incentive plan; generous Company benefits program