Role at a glance
- Salary
- $230K – $284K/yr
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of experience in Test Engineering, QA Engineering, Software Development in Test, Site Reliability Engineering, Technical...
- Education
- A Bachelor’s degree in Engineering, Computer Science, Robotics, or other relevant technical field
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Role Summary
The Systems Engineering team’s Scenario Ops function owns scaled delivery and maintenance of simulation-based directed testing coverage for evaluating the safety and performance of the Waymo Driver. This hybrid role focuses on scaling test quality and health as Waymo expands into new cities and vehicle platforms, reporting to a Staff Program Manager.
What You'll Do
- Design scalable quality-control methodologies for test creation, including statistical sampling, risk-based auditing, and automated...
- Develop and manage a meta-quality framework, build dashboards, and identify opportunities to improve first-time accuracy and reduce...
- Drive automation for detecting and resolving test health issues in the scenario test database to maintain quality and test uptime.
- Develop a playbook for making maintenance adjustments at scale by leveraging tooling automation and partnering with SMEs on standards...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree in Engineering, Computer Science, Robotics, or another relevant technical field; 8+ years of experience in test engineering, QA engineering, software development in test, site reliability engineering, technical operations, or equivalent; excellent debugging and Python/C++ coding skills; proficiency in SQL or other data analysis tools; experience architecting testing programs at scale and leading test automation strategies.
Required
- Bachelor’s degree in Engineering, Computer Science, Robotics, or other relevant technical field
- 8+ years of experience in Test Engineering, QA Engineering, Software Development in Test, Site Reliability Engineering, Technical...
- Excellent debugging and Python/C++ coding skills
- Proficiency in SQL or other data analysis tools
- Experience architecting testing programs at scale
- Experience leading / driving test automation strategies
Preferred
- Experience with software development for robotics, autonomous vehicles, or similar
- Familiarity with AQL (Acceptable Quality Limit) sampling or other statistical process control methodologies
- Experience with Lean / Six Sigma process improvement methodologies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.
Why This Team is Essential to Waymo's Success:
Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. Scenario Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The team owns the scaled delivery and maintenance of simulation-based directed testing coverage used to evaluate the Safety and performance of the driver as Waymo continues to scale.
In this hyrbid role, you will be reporting to a Staff Program Manager
You will:
- Design Scalable Quality Architecture: Move the organization towards scalable QC (Quality Control) methodologies for test creation (e.g., statistical sampling, risk-based auditing, and automated validation). Be the primary architect of how we verify work at increased scale
- Manage meta-quality assurance: Develop and manage our meta-quality framework to drive overall test quality assurance. Build dashboards and identify opportunities to improve first-time accuracy and reduce rework rates
- Maintain test health: Drive increased automation in detection and resolution of test health issues identified in our vast scenario test database to keep quality / test uptime high
- Create the playbook: Develop the playbook for making maintenance adjustments at scale by leveraging tooling automation strategically while also partnering w/ SMEs to develop standards and guidelines that enable our vendor workforce to drive efficient resolution
You have:
- A Bachelor’s degree in Engineering, Computer Science, Robotics, or other relevant technical field
- 8+ years of experience in Test Engineering, QA Engineering, Software Development in Test, Site Reliability Engineering, Technical Operations or other equivalent experience
- Excellent debugging and Python/C++ coding skills
- Proficiency in SQL or other data analysis tools
- Experience architecting testing programs at scale
- Experience leading / driving test automation strategies
- Ability to thrive in a high ambiguity, dynamic environment
We prefer:
- Experience with software development for robotics, autonomous vehicles, or similar
- Familiarity with AQL (Acceptable Quality Limit) sampling or other statistical process control methodologies
- Experience with Lean / Six Sigma process improvement methodologies
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.
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.