Job description

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. As SRE (Uber tech Lead) UTL, you will play a key role in driving the reliability, performance, and resilience of our most critical services. You’ll lead the strategy and execution for observability, incident management, capacity planning, and continuous improvement of our global scale production systems. You will be accountable for the response to novel, rare, or unexpected events encountered during the operation of our most critical systems. This includes both spearheading timely investigations and resolutions, as well as proactively partnering with engineering to evolve our software system to enhance their robustness and adaptability.This unique role encompasses our commercialisation services along with our planet scale software delivery systems, both of which underpin our rapidly growing and evolving fleet of autonomous vehicles operating in multiple cities. The challenges of ensuring reliability at our scale and pace is unprecedented. If you are a hands-on SRE tech lead, with strong software engineering skills, who is passionate about solving first-of-their-kind problems with significant real-world planet scale impact, we'd like to meet you. This is a hybrid role and reports to the Head of Site Reliability Engineering. You will: Drive incident response processes, retrospectives, and continuous improvement to prevent recurring issues. Organize and participate in on call rotations for release oriented outages, along with disaster recovery planning and business continuity Harden software, develop playbooks, improve oncall metrics and post-mitigation workstreams, and improve robustness of the software system running our most critical release processes Lead the engineering analysis and response to novel, rare or unexpected events encountered during our development analysis cycle. Champion a culture of reliability engineering across the organization, including partnering with organization leads and others across the Onboard, Eval and Simulator organization to educate and improve large-scale software engineering best practices. Contribute to system software architecture to help improve its robustness and debuggability You have: Master's degree or PhD in Computer Science, Engineering, or a related technical field 15+ years of experience working on large-scale production software systems, especially machine learned systems 15+ years on hands on coding experience with C++ Experience organizing and running oncall rotations Excellent influence without authority skills Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team Deep expertise in architecting large scale distributred systems, observability tools, monitoring systems, and incident management practices Strong background in distributed systems, cloud infrastructure, and production operations at scale Proficiency with automation, infrastructure and modern DevOps/SRE tooling Track record of improving system reliability through data-driven approaches and systematic problem-solving We prefer: 15+ years of experience leading hybrid hardware/software production systems Experience leading teams who work on modern deep ML / large scale models Track record of bringing about change in 1000+ person engineering organizations 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. Salary Range $298,000 — $368,000 USD

Requirements

Must-haves

This is a hybrid role and reports to the Head of Site Reliability Engineering.
Harden software, develop playbooks, improve oncall metrics and post-mitigation workstreams, and improve robustness of the software system running our most critical release processes
Lead the engineering analysis and response to novel, rare or unexpected events encountered during our development analysis cycle.
Contribute to system software architecture to help improve its robustness and debuggability
Master's degree or PhD in Computer Science, Engineering, or a related technical field
15+ years of experience working on large-scale production software systems, especially machine learned systems
15+ years on hands on coding experience with C++
Experience organizing and running oncall rotations
Excellent influence without authority skills
Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team
Deep expertise in architecting large scale distributred systems, observability tools, monitoring systems, and incident management practices
Strong background in distributed systems, cloud infrastructure, and production operations at scale
Proficiency with automation, infrastructure and modern DevOps/SRE tooling
Track record of improving system reliability through data-driven approaches and systematic problem-solving
15+ years of experience leading hybrid hardware/software production systems
Experience leading teams who work on modern deep ML / large scale models
Track record of bringing about change in 1000+ person engineering organizations

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: greenhouse
Effort: quick