Senior Software Engineer, Fleet Response Efficiency & Optimization — San Francisco
Waymo · Mountain View ; CA San Francisco, CA
Posted Posted 52 mins ago
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This Senior Software Engineer, Fleet Response Efficiency & Optimization role at Waymo was posted in the last 5 days. Before applying, run your resume through the checker on the right — most rejections here are keyword and formatting mismatches, not qualifications.
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:
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Design and implement measures to increase the efficiency and decrease the cost of Fleet Response operations
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Partner with other teams at Waymo to find headroom in their shares of operational workload
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Generate and research ideas for new optimizations of the work operators perform
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Work with onboard engineering teams to sunset operational work that is no longer necessary
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Contribute to cross-functional analysis and optimization efforts
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Improve regression-detection and culprit-finding for changes that negatively impact operational metrics
You have:
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Bachelor’s degree in Computer Science or similar technical field of study
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5+ years of industry experience navigating complex systems with distributed ownership
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Experience with C++ or related structured programming language
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A curious, investigative mindset with a bias towards action
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Strong ability to dive into new problems and codebases
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Experience working with non-technical cross-functional partners
We prefer:
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Experience designing analytical frameworks to answer difficult product questions
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An innate desire to make things better and reject the status quo
Disclosure for WA Based & Remote Roles:
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year
US Remote Only: Please note that Waymo may not be able to employ remotely in all US locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.
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
$213,000 — $263,000 USD
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