Senior Staff Software Engineer - TLM at WAYMO LLC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Dec, 25

Salary

356000.0

Posted On

29 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Technical Leadership, C++, Python, Data Processing, Robotics, Safety-Critical Systems, Cross-Functional Projects, Problem Solving, Mentoring, Team Building, Mitigation Lifecycle, Automated Issue Discovery, Signal Server, Spotfix, KMD Mitigations

Industry

technology;Information and Internet

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. You will: Hire, mentor, and lead a new team of 4+ solid software engineers (initially), fostering a culture of ownership and rapid execution. Own and execute the technical strategy for the entire Field Response flywheel, which includes Instance Discovery, Intervention, Aggregation, Mitigation, Robust Fixes, and Regression Prevention. Drive initiatives to improve automated issue discovery by deploying more signals to Signal Server and reducing the latency from event occurrence to a triaged bug. Enhance our mitigation effectiveness by championing the creation of new Spotfix types and increasing the ratio of targeted Spotfix/KMD mitigations over broader DZ mitigations. Partner with the Mitigation Ops (MitOps) team to improve their efficiency, reducing the turnaround time for applying mitigations to discovered issues. Mature the mitigation lifecycle by improving processes for tracking, evaluating, and ablating temporary fixes, ensuring every mitigation has a clear path to removal. Serve as the key technical partner for teams like ROPP, Remote Assistance (RA), SRE, and various Onboard teams to ensure a seamless flow of information and action. You have: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. 10 years of experience in software engineering. 3+ years of experience in a technical leadership and/or people management role. Experience with C++ and/or Python We prefer: Master's degree or PhD in Computer Science or a related field. Experience building and leading SRE or operations-focused engineering teams. Proven track record of leading complex, cross-functional projects with multiple stakeholders. Experience with large-scale data processing, robotics, or safety-critical systems. Demonstrated ability to thrive in ambiguity and deliver solutions to open-ended problems, as is common when responding to novel in-field issues. 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 $281,000—$356,000 USD

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Responsibilities

You will hire, mentor, and lead a new team of software engineers while owning the technical strategy for the Field Response flywheel. Additionally, you will drive initiatives to improve automated issue discovery and enhance mitigation effectiveness.