Staff Systems Test Engineer, Scenario Quality and Maintenance Systems
Waymo is hiring a Staff Systems Test Engineer, Scenario Quality and Maintenance Systems in Mountain View and San Francisco, United States. It pays $230k-$284k a year and Level rates it ; you can apply on Waymo.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions quality assurance, systems engineering and test automation among its tools and skills.
- Level classes it as a senior role.
- Waymo has 371 other open roles on Level.
AI in this role
Staff Systems Test Engineer needed to design scalable quality architectures and automated testing frameworks for autonomous driving simulations.
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.
Salary Range$230,000—$284,000 USDHow we rate this
Staff Systems Test Engineer, Scenario Quality and Maintenance Systems at Waymo rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where quality assurance was part of your work. What did you do?
- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where test automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Quality Assurance, Systems Engineering, and Test Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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