W

Waymo

Builds self-driving AI and runs a robotaxi service

Software Quality Operations Specialist

Manual & Functional QAConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A BS/BA degree or four years of relevant work experience in autonomous-vehicle Software Quality Operations.
  • Competency supporting all phases of the machine-learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
  • Experience with machine-learning testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.
  • Ability to quickly learn and implement new concepts and use proprietary tools.
  • Strong understanding of driving rules and regulations.
  • Ability to provide occasional on-call availability for evenings, weekends, and holidays, and flexibility to attend meetings outside standard hours to collaborate with the global team.

Responsibilities

  • Partner with Engineering to design, test, and deploy machine-learning and generative-AI models and tools to improve issue discovery and detection, triage efficiency, and quality assurance.
  • Use AI-powered insights and traditional triage signals to identify emerging on-road issue trends, new risk scenarios, and edge cases; develop and refine data-driven strategies for issue discovery and monitoring, enhanced by machine-learning model outputs.
  • Serve as the link between AI and machine-learning development and operational execution; define and document policies, guidelines, and standard operating procedures that integrate AI tools and insights into daily vendor workflows.
  • Design and implement quality-control processes for human- and AI-generated outputs; perform meta-quality checks, validate vendor work, and provide feedback to improve human and model performance.
  • Act as the Software Quality Operations subject-matter expert, working with stakeholders, program leads, and vendor teams to support adoption of AI and machine-learning advancements in quality processes; create and update technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals.
  • Provide technical leadership and consultation to stakeholders to improve workflows and quality; identify and escalate tool issues, provide technical requirements to Engineering, and drive user testing for new tooling features.

Desired Qualifications

  • Experience working with offshore teams or multiple local operations hubs.
  • Basic SQL querying.
  • Competency in large language model or transformer models, and/or machine-learning experience in the robotics domain.
  • Using subject-matter expertise for results analysis and direct customer consultation in developing improved solutions.

About the Company

Waymo

Builds self-driving AI and runs a robotaxi service

Waymo builds self-driving technology and uses it to run a ride-hailing service in which passengers summon electric cars with no one behind the wheel. In 2020, it became the first company to open fully driverless rides to the public, starting in metro Phoenix. Its system, the Waymo Driver, pairs cameras, radar and laser sensors called lidar with onboard computers whose AI predicts what nearby people and vehicles will do and drives the car. Riders pay per trip through the Waymo app, or through Uber in some cities, while Waymo and fleet partners keep the cars charged and maintained. Waymo began as a Google project in 2009 and became a separate Alphabet company in 2016; it is based in Mountain View, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$32.1B
Headquarters
Mountain View, CA
Founded
2009

Recently Posted Jobs

Explore more opportunities at Waymo

See more jobs