<p>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.</p> <p>The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver's behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. As a Technical Lead, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.</p> <p>In this hybrid role, you will report to an Engineering Manager.</p> <p>You will</p> <ul> <li>Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new geos </li><li>Build quantitative evaluation techniques to drive data driven development </li><li>Work closely with partners in Mapping, Product, and the rest of the Onboard stack </li></ul> <p>You have:</p> <ul> <li>PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field </li><li>Experience manipulating and analyzing large datasets </li><li>Experience with working and solving design problems that cut across multiple components. High quality API design with an eye towards eval and data driven techniques. </li></ul> <p>We prefer:</p> <ul> <li>Experience in the autonomous driving domain, including areas like motion planning or perception </li><li>Proficiency in SQL </li><li>Proficiency in C++ </li><li>Evaluation experience, contributing to scalable eval workflows and building metrics for ML models </li></ul> <p>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.</p> <p>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.</p> <p>Salary Range</p> <p>$251,000-$310,000 USD</p> <p>We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)</p>